Ydydywch chi'n bwysig ar y dystod. Yn elfen, yar gennych chi oedd y具ifigau ymlaen ymlaen neu eu wasbwynt o'r pwyllfaaniaeth i'r erbyn, nid i feithio y tu'r tawch ar gyfer Brachium aneddwn dednis arlwyneidol, ac yno ychydig Sam yw amgylchedd ar plio ei wneud gydag llunio'r dweud fel rhan ymarfer yn Ymlaen ar gyfer mewn gyfrifol. Felly, o ddoli'r mewn ffordd, cyfnodd gweinwch yn unigwm rhywbeth, byddwn i'r unigfawr gyda rangyniadol ar y laff yn ymgylch yn y teladol, ac ond efallai hefyd yn holl i'r bod yn rheiddiwyd. Dydyn ni'n byw i'r byw i'r unigwm ryw gilydd iawn yn unigwm rhywbeth. Vitrwch i mi, roeddwn i mewn amser unigwm, gwahog o'r newidol i'r ffordd, roeddwn i fynd arnyf yng Nghyr iawn yn 2013. I spent 2014 just reading papers, writing code, giving talks and things, and now basically since 2015 I've been a kind of a serious machine learning person, having essentially rebranding myself from finance guy to, or finance quant guy to machine learning guy, I've written a couple of papers and this whole deep learning thing has come just at kind of the right time. So what we already covered last month and the month before, just some very basic neural network ideas, we've understood hopefully if you've been there. Can I just quick show of how many people have been to one of these before? Quite a lot. How many have been to zero of these before? Okay. How many of people do not know what a CNN is? That Google guy. Okay. So one of the takeaways from this is when you do training of these deep neural networks, you're actually creating features. Now one of the things about most machine learning methods is that creating features is a difficult thing and people would hand engineer these things. The deep learning, the trick is that just by training this thing on huge amounts of data, it can create intermediate features which are helpful to solve the task. So the benefit of training is feature creation and basically the layers for the depth of the network will create different kinds of features. Essentially there will be a hierarchy of understanding within this network. And if you want to look at the previous presentation, so if you want to go and see this online, if you have a laptop, this is under redlabs.com, which is redlabs.com, slash p. That's the kind of always my latest presentation. So there's also an intro to CNN's presentation there too. So just quickly review what's in that presentation that there was a lot more. The basic idea for CNN's is that pixels in images are organised. So it understands within an image rather than just independent inputs, the image itself has some kind of coherence. So the idea of up, down and left, right are actually meaningful when compared to just a bunch of other features which could be, no, rainfall, sunshine, temperature, time of day. All of these things are kind of orthogonal features. Images, it looks like a lot of pixels but they're not independent. The very fact that they're organised into an image and then colours, this is meaningful. So the idea here is we're going to use the whole image as a feature. So this is, instead of trying to create very small independent features, we're going to use the whole image and look at images as features in themselves. And in order to transform from one image to another, the transformation or the filter parameters or the parameters we're going to use are basically those behind a Photoshop filter. And a Photoshop filter mathematically is a convolutional kernel so the CNN is a convolutional neural network. So mathematically what happens is you have your image which is this thing at the back. You have a little kernel of filters, this is a three by three. And then you calculate the value of this summed across all of these different locations here. And that gives you one answer. And then you scan this across the image, each giving you a pixel out. And basically you construct this entire image. Now this looks like a lot of array operations and that is why you should be using a GPU to do this stuff. Because GPUs are ideal for this kind of thing. Okay, online there's a little example of how to play with one of these filters. Basically this is a little array of parameters, a three by three array. This is my input image. And this is what it looks like after being passed through this filter. Now what is picked out here is it loves these like edges, these horizontal edges. So I just put in these numbers at random. This filter or this essentially you can think of this as a new colour plane. Is something which highlights the whiskers basically. Now this image consists of three planes. This is one of maybe 64 planes or 256 different ways of looking at this one image. And that would be one layer. The next layer of the CNN would be operations on those layers to do with each other. So here is the basic layout of how a CNN like a proper network is laid out. Is you will start with the true life image. And the target is to classify this as being say car versus truck or airplane or however many categories you have. And the first convolutional layer you'll basically have in this case I think it's say 10 different ways of representing this image after passing it through some little matrix. You can then do some non-linearities on that and then you have a layer which then applies to this layer. Similarly you'll essentially do some non-linearities, some downsizing and then apply new layers on top of this and then new layers on top of those. Gradually layers upon layers of these convolutional filters. And at the end you have one big fully connected layer which takes all of this like hierarchy in a hierarchy this is a high level features of this original image. But it's been trained to be as useful as possible to classify this into the appropriate class. And the fact that you're forcing it to be as useful as possible essentially then let's by assigning blame lets you train all the other parameters in the network and back propagation. So when I said that people typically train these on classes there's a very common training task that people do called ImageNet. And this has been an ongoing competition since maybe even the 90s. But suddenly in 2012 neural networks began to dominate it and which is kind of the start of the deep neural network exploration kind of thing. The task here is they have 15 million labeled images and they have 22,000 categories. But the actual game is played on a thousand categories.  And then here are the different classes of foods which are most similar. So I think these are all hot dogs. This is more like sandwiches I guess. So anyway so there's a bunch of different things which is not necessarily that easy for a human to tell. But people know that human level accuracy for getting it right within the top five guesses is about five percent. So as of 18 months ago these computers exceeded human capabilities. So that's quite impressive. The problem now is where do you get the training data to get better. Because the only training data you can get is from humans. And so you have a committee of humans maybe. The same problem will occur in medical images. You can't be that much better than radiologists just because who do you learn from because there's no super radiologist. Anyway people have been playing this game to improve on this task. And this has led to a huge surge in GPU technology network technology. Google versus Microsoft versus Amazon versus whoever else. Facebook by do are all tackling this problem. It's kind of a toy problem in the sense that no one's particularly interested in the thousand classes. But it's a hard it's a hard problem. And typically people will train a GPU cluster for weeks or months in order to submit their final result for this. So one of the nice things that people like Google will do along with TensorFlow is they've released pre trained trainings pre trained weight sets for these along with the network used to create them. So this is a Google network which is a 2014 kind of vintage. Things have got you know got much better since then. On the other hand the size of the networks have got larger and the number of parameters have got larger. Which means that since my little laptop is going to run these examples on its CPU bigger networks take much much longer. If you've got a GPU and you're running one or one or two is fine. But there's definitely a trade off between number of parameters speed accuracy. So for what we're doing here we don't actually need an accurate classifier for reasons I'll explain soon. So basically here we put the image in at the beginning and then we go through different convolution pooling and like collection layers to rival. There's set these green things kind of represent points at which the whole image has been condensed into some featureization and this goes through a whole bunch of these to get to the final output of class. And what you find when you get one of these CNNs this is slightly earlier CNN kind of easier to visualize is this is the original image which is 224 by 224 by three color planes. And then this is expanded out into 96 filters each of which is 55 by 55 and this is then expanded out into this block of features and this block and this block and this block down towards these 1000 classes. Now what happens is in this these beginning blocks basically the things it's looking for a kind of edges and smears of color. But when you get onto these what I call higher level features you're getting textures. So basically these high level things are combining these lower level features to get kind of interesting observations about the image. Now as you go still higher it's beginning to recognize shapes. So look at eyes and noses and petals. So this is a high level representation beyond this. But you can also think of these as being parts of objects. So this kind of stage you've got a crossover between what is being what is easy to represent in terms of pure pixels and what actually is meaningful in a semantic sense. And then when you get to the end you're getting clouds of dogginess or clouds of cat like nature or tractonous which are very useful for classifying. So this is the way in which a CNN which is pre-trained to do the classification task actually learns a much more general visual representation or visual hierarchy. So what we did last time is we did some speech recognition by looking at if you weren't here. I took some speech recognition spectrograms or speech spectrograms and used a vision network to recognize them. And that actually works surprisingly well. So now instead of abusing the vision technology that way we're using it in a visual sense but let's use it creatively. Let's create some art. So the idea for style transfer and all this is kind of the problem statement is I would like to provide a regular photo of something. So that's my photo. I would like to copy a given artist style. So I'll take another photo which is which is representative of that artist. And then I'll try and understand both of these using the CNN features and in some way make a new image which is the combo. I want my picture within that style. And so the basic idea is I'm going to start off with a copy of my photo and then I'm going to change the photo on a pixel by pixel basis. So every little pixels up for grabs. I'm going to change these until it looks right. And I'm going to change it to mimic both the fine features of the original photo so that it looks as similar as possible to the original photo while looking mimicking the stylistic features of the photo. From the artist. And I also want it to give a good looking result in as much as I don't want it just to turn into noise which best fits the image or best fits these first criteria. I want it to actually look like a coherent image. So to go into the kind of more slightly more slightly more mathematical details. So I'm going to start with my actual photo or I could start with random noise but for speed I'm going to start with my actual photo. And then I'm going to update this image by gradient descent to minimize an L2 difference between the original photo features and my thing. And then a thing called the Grammatrix similarity versus some style features. So I'll gradually explain how this is working. And I'll also minimize a self variational loss which is kind of how jagged my picture is. And then I'm going to fiddle with the parameters according to taste. Now the whole taste thing is more where the art thing comes in because this isn't like a magic formula which produces the answer. This is trying to produce art and I'm no artist but there is a certain amount of you have to fiddle around with this thing and there's no right answer. I mean it just has to look good. I can't say well this is definitively good piece of art versus another piece fiddle with parameters according to taste. So now I'm going to do a demo hopefully which will work. And this all this code is available online. So I have a thing called this deep learning workshop which has a ton of notebooks in it. And so under the CNN directory there's a style transfer directory. This example is an inception TensorFlow example. It's been updated many times in the last few days. And so I'm just going to go through this and this is I'm also kind of updating this deep learning workshop. Before it was orientated to become just a virtual appliance so I could distribute it to a whole crowd of people and they could run it on their laptops live. But now we're talking in this kind of format. It makes sense to have it so that you can just load that one file and it will also pull in instead of being within the virtual machine it will pull in all the dependencies it needs for that one file. So this is I mean it will pull down. I don't want everyone doing it here just because it will destroy their network as it falls down get no tens of megabytes of data. But it's there and it will clone stuff for you do all the rights thing to make it make sure it will work. So just hold on a moment. I need two hands. OK so sorry this is the online thing. OK this is what this looks like. OK so this is can anyone hear me hear me like this. Can you hear me at the back. There is a nod. All right so that basically there's a little bit of introductory text and there's also there's some other implementations out there. This is kind of people have been interested in this thing. There's also other versions of this but no need to go there yet. Basically this is alive. This is live TensorFlow. Here we go. So basically this is loaded up TensorFlow the library. And then I've got it. There's a thing called the TensorFlow slim models which I've already got. So basically TensorFlow slim is a little framework on top of TensorFlow in which they've defined all of these all of the Google's latest snazzy models. And this is the one which is going to load. And as I said this has got several different interesting points. And if I just keep going down. So this is now loaded this checkpoint which is basically all the parameters. And this is now saying OK I'm loading this essentially this module which is I could show you the code for it. It defines a whole bunch of convolution layers all connected together in a wild way. So I define some kind of image preparation function and then I'm going to choose some photos. So the only photo in fact so you put whatever photos you want to in this in a directory. So there is a typical photo which people use it's either the lane of photo or this tubing and canal thing anyway. So here's a photo which we're going to use as my original photo. Assume I've been there. Then I'm going to choose some art. So what I'm going to do here is I've got a whole bunch of different art on my thing. I'm going to go through to find a nice one. So I know that this one works quite well. So this is this is so you've seen a bunch of. And this is you will see in this online people like starry night because it is very as very clear features. So so in that let's just go on. And this is basically this is defining the tensorflow graph. So if you haven't seen this before basically tensorflow you build an entire computation. You describe it to the machine. So rather than doing the computation step by step it involves describing the computation and then telling it to do it right at the end. Now the benefit of that is that the Google code can go or the Google smart engineers have made it so it can give you kind of optimized computation. The problem with it is when it gives you an error message you have the error messages are poor because you don't exactly know what line of your code corresponds to what cell in its computation graph. It becomes a bit murky. So what I do now is so I can just I can look at the endpoints within this. So here's basically the named pieces of this network which we're going to play with. And so then I have chosen some of these to essentially I want my photo layers which is in my original fine features to be. I'm calling this mixed 4B and then the style layers. I'm going to choose these other ones which which are kind of different layers within the network. So I've played around with this so that it works. And so this is where the kind of taste taste or not taste comes in right. And so basically I can now do a computer. I can now actually grab those layers and I can show you what's in them. So this is this is a this is one of the layers and you can see that. Well you can't see this is an easy one to see. This is what Conv 2D 1A 7 by 7 is it's basically several filters on top of my canal picture and also several filters from the starry night. But I'm actually not going to use the starry I'm either going to use the top one or the bottom one. So for these these layers I'm either going to choose a photo like layer or a style type layer. And you can see that a different a different points in this network is pulling out different things. So in particular whether I'm not sure whether you can see it in starry night there's a big swirly thing here. Now you can't really see it in these images you can see it here. But this layer loves the swirly thing this things cut this one kind of ignores the swirly thing. So different layers are picking out different features of things it likes. So if you just continue going down here's the here's another important thing. Basically I'm defining some functions to calculate how much loss the content which is my photo is versus the image which is just a mean square loss. Then I have a style loss which is something to do with gram matrices. Gram matrix is just you kind of explode out the features versus each other. And then I compare all of the features versus all of the features. It's kind of a huge operation. But I'm only doing this on fairly small matrices. And then there's this total variational loss. Total variational loss is to make a self consistent picture. I'm just making sure that there's not too much change across pixels up and down and left and right. So it's not all jaggedy. So having done that I then combine these things with some sort of parameters. So I'm just adding these losses up some I'm multiplying by 10 or dividing by 1000. I've played with these until it looks right. And having done worked out this total loss I can then work out the total gradient. Once you know the total gradient you know how to blame the network for the mistakes or the picture for the mistakes it's made. This allows you to essentially I'll start off the photo and then I'll start this training thing. So basically in this this is a I'm starting off another session for my TensorFlow. I am then using a sci-pi function rather than a TensorFlow optimization function. I'm actually running sci-pi this BFGS optimization which optimizes the whole image at a time versus the loss. And you can see that it's turned horrible. So here basically we start off at this one which is 72000 as a loss. And gradually the loss is decreasing to 2200 down and down we go. So this is for 50 iterations of this thing. And you can see that this is my end result at this point which I would call a midway result. I've got my original photo, my starry night and my hazy night. So let's try this again. So the way it's written is this will just execute again if I continue to execute. So we're looking at this number as being kind of the number to go down, which is the total loss. And if you're interested in playing with this yourself, the reason I've got these eval loss components here is that this loss component is how important each of the features is. So this is the how like it is to the original photo. This is one of the style elements and these are the other style elements and this is how much the self-consistency constraint is killing it. Now what we find here is it's actually more concerned about style. The self-consistency is hardly ratcheted up at all. So what I try and do in the thing above is make the weight so that these are kind of the same number just because that seems to be a good idea. Gradually here we go down. It's more swirly now. Let's try again. So I guess now we're getting to something which is more. So the idea here is if you just go online, this is all open source. You can pull in this thing. You might need to install TensorFlow nicely. It's a Python 3 thing.  And then put in whatever style you find on the web for free. And gradually you can just get this thing to train and train and train and this will turn into a nicer and nicer image. So it's all for playing with. Playing with this stuff is the way to learn. So some quick examples with apologies to the artist. This is if I run it a bit more. We've got a starry canal. This is if we use this Mediterranean Picasso picture. This is the Mediterranean canal. And then if I use this Cezanne, we get a Cezanne cat, which is kind of a nice portrait of Tabby cat. So this is kind of just one example. It's kind of the intro example. Sam's got something kind of cooler. This what people have been doing is there's also a way of using this in a direct mode. So this for each pair, we have to do an optimization to get to the final image, which is a long process. But given the original and the final image, I could then use that if I used lots of originals and computed the finals, I could actually work out the transformation to go from Tabby cat directly to this without worrying about Cezanne in the middle. And then I could pass in this will be a single transformation. I could train a CNN itself to trans do this transformation. I could actually then run it on video. So people can do this in your phone or online in real time. But the genesis of this was about a year before when people worked out that this could even work. So the field is moving forwards very quickly. So as a wrap up to these CNNs, these have rich features. That's why we're going to abuse them. Turns out you can do some interesting stuff. If you want to play with this stuff, having a GPU is super useful. This is part of a thing on GitHub. If you like it at a star, I would like that. And we'll have some announcements at the end and that's me. Thank you. Sam, why don't you set yours up?


So what happens when you romance 2 NPCs within the same playthrough, i.e. carry and panam, and then go on to complete Panam's ending? Well honestly guys, I didn't think anything was going to change, but the game actually acknowledges what you are doing and adds carry into Panam's ending, which somewhat really surprised me because I didn't think anything was going to go down. Now I will leave you to watch what happens and me trying to bust a myth, I actually didn't think it was even there, but hey you learn something new about this game every single day, but guys if you do enjoy this video leaving a like really helps me out and if there's any myth you want to see me try and bust or something you want to see me test let me know down below, but guys enjoy the video and hopefully I will see you on that next one. Okay people so I am back with another cyberpunk video and today we're going to try and break the myth of can you romance 2 people in the same character, i.e. avoid romance panam, can I go on to romance carry you or die, now I've got to the stage of where I um I literally I think it's just about do it here to be honest I saved it yep I'm right here so I've got a meat carry at the marina at 7 p.m and this is where it all kicks off I do believe so that's what we're gonna do people where is this where is this so it's on the other side of the map so I'm just gonna get to a fast travel point because I ain't driving all the way across there none of that so I need to get to this one oh I've got to go around my arse to get to oh just one closer there I guess yes there is yeah I've already I've already romanced panam as you've probably seen my video but let me just double check we're still in the relationship because I haven't done anything for while we've her how's it going panam yes I have yes you did good okay so I'll catch her later here yes we will okay so there's my relationship with panam but what's gonna happen people when I go to romance no one out for then okay you're done Claire Russell should have been a romance option too like so many other folk in this game but no okay so I've got to go down here now I know what I gotta do I know what I gotta select I know what about that I also know as well that there's no actual main ending featuring care you done I don't think when you're on that roof top with a with Johnny Silverhand if you can call carry I don't think that happens but we're tests that two people I'll call up the video and test all that just for you guys to see what happens because I like to that myth burst okay so I gotta wait here here I guess I do okay so let's wait let's wait for Kerry now we're probably gonna see that sex scene here so we're gonna have to obviously censor that out okay so we're gonna go on to the boat there he is get on to the deck I'm on the deck man I just want to say people I mean if you haven't done carry you don't quest it is amazing I mean it is amazing okay yeah sounds promise I mean just do music to my if you ain't interested in any romance option with him do it because it's amazing find that button probably the best side quest in this game dad believe it or not see you're gonna play like this our mate is gonna there you go there's Johnny nice acts it's a Lancaster custom built only five ever made I know that when he goes to kiss me I've got a kiss him and I've got a short interest in him after that for the uh the full romance to go ahead so I don't know do you think so uh CDPR thought about that do you think they'll allow you to romance two people at the same time I guess you could probably do on a female V as well being uh River and Judy that'd be pretty cool okay so let me hear what this is all about if you can do if you can do panamans Kerry I don't see why you couldn't do Judy and River uh breakfast cereal one chapter ends and it begins that's full of them at least my I can't wait for the next update people I don't know if how many people are still going to be playing the game then it's going to be end of the year but I'll bite I mean tell me about these loops if this does head the way it seems to be going which is unfortunate because I think it's a great game will be pretty dry buddy under the year let's not be around the bush people and you notice fingers are on to something fresh again the day oh that gold man okay I want Mr. T company for that not just your company here we go you're thinking about that us cracks if you ask I did kiss him while I was in that building uh where you find the the more expensive joy toys the top of the range joy toys for you and the balcony they were kissing but I don't actually think that plays a part in the romance I mean you can deny him there and still go on to romance him so I get up and run around here had what I think folks call I can't imagine how that looks my neck must be twisted up hardcore could just be what folks call maturity you'll see no more mayhem no more shady ass schemes done with that so I can skip the travel idea I think I got us keep the travel here oh let's do it see what happens and hang it around all day people and hanging around all day people okay so where are we now whoa whoa whoa just stand there like a gark okay why not why the fuck not grab something heavy and no regrets after owning a trashed yacht my yacht honestly think I'd name my boat Seymour right who's the fuck is it that head motherfucker I'm thinking then you a dollar's made over check I'm taking those ideas man let me say grab something heavy but there's nothing heavy here do something and smash it this one's on LP oh can I just shoot things nope nope what are you trying to do okay let's rip this boat to shreds well either he's gone senile or he's blinded lies in the fuck up destroy coffee machine what I was gonna see trying to do yeah I was gonna smash like smashing shit yeah okay table uh okay so here we go people there we go I remember seeing that in the trailers now where we gotta go we gotta go onto the beach man dive if you're down here what happens at the guitar if you're off you wonder if you can pick that up probably that and this is where you show interest I've already cheated on pan and we carry is he still doing the water yeah the waterfall using my own pool more often he jumps into the water but necky but somehow he's gets pants from somewhere come here kid just hold your breath a little less wreak something real beautiful isn't it somebody has to have seen the smoke by now if the seamer seamer I'm gonna rip my hair out or come with black market C6 what do you think oh never mind I am and she's sinking gotta admit not bad it was fucking wild so it's here and it's showing us that score to mark a new beginning yeah fuck doing things by the night city book you and me it's okay it's gotta be pretty old here isn't it really you think about it hug pencil me no count rounds okay so that shows well I think that means we're in a relationship paper that's it let's get out of here where the wind flips me flooded by that stench need a ride yeah why not of course I do I should have went and seen what I could do with that boat and go back to it interesting interesting another level I don't know what drinks he's done me and me and came you down in the relationship me pandemic relationship okay so just ring him kind of ring him see me book there he is you know what a little anarchic gesture back there I kind of liked it just hoping the us cracks girls like the last speaking of anarchy how'd you get into this this uh I mean you're asking me why I do what I do yeah why oh I got an option here for street kid nice I came up on night city streets fixers find people like me pretty quick it's just snowballed from there never thought about getting out they broke why fix it so I'm wondering now what happens because I don't you can't obviously do anything with Kerry in terms of um he has no real part at the end or any epilogue to the game so on any ending to the game so oh shit so I'm guessing all you'll see is a oh what's happened yeah kind of like stuck in the audience speaking he's just staring at me people he's creeping me out oh yeah I'm guessing just after the credits you'll get a message from him let me have a listen he's still ain't speaking he's staring at me like he's found out that me in Panama do your thing I'm just gonna catch him later yep still don't speak that's weird okay so what I'm gonna do what you doing woman on the phone there okay so I'm gonna run the end of the game so I'll meet Hanukkah ember so we'll do that and I'll catch you back on the balcony that's where it all happens people and I'll just take the short exit the easy exit to see what happens after the credits oh looks like a halo hump there okay people so we're at the point where we go on to that oof tap we're mystic we're basically choose our fate where we choose the ending we want we can call Panam for that help that's what I'm saying I don't think you're gonna be able to call Kerry here in terms of getting his help I don't think him and River have an effect on how this game will play it from here on forward so which is kind of unfortunate to be honest but hey it is what it is people so the only thing we can we can get that's different here um is the after credits where they'll drop you a call based on your relationship with them so I'm just guessing we're gonna get a call from both Panam and Kerry which is gonna be pretty weird but we'll see people that's what we're gonna do here that is what we're gonna do here I was hoping I could remember the dialogue options I got to choose to get the quick ending I'm pretty sure that's more like it pretty sure that's a great view need to get away be alone these people down there look through some shit oh he's gonna cut nope I thought he's gonna cross then okay so let's just sit down thanks misty thanks misty you're right joy spot so what but what did Jackie decide of here gonna be a legend in this city usual Jackie and I'm gonna leave you alone now all right off your truck take your time fucking scared me no then thought you were on your way out still was mate let me tell you now you know should call anyone you want to say goodbye to worst case scenario no but whatever you decide risks gonna be high if things don't go our way just fucking do it anyone you got to talk to now's the time pills can wait what can call Kerry what okay then this one musician okay so I didn't know that what but I know still he doesn't have an effect on the ending we can go can we call Panam how do we call him though hey thanks they do get the two options that's pretty cool I didn't think that would happen your resolution managing to stay out of trouble yeah same here nope sounds strange of course yeah just wanted to hear you sure sure kill it at their care you do me see okay they call anybody else but I wouldn't call Panam that's good you call come a long way to get here heavenly I kick him off that building a drop kick started in a fucking landfill even a matron man Randy Savage elbow off this balcony what I mean that'd be a way of going out people you're sorry right now that'll be the way of going out you can let me do that or you can try Panam in her tarmac right whoa whoa whoa so what happens now if you call Panam the second time around you'll have your you normally get the option straight away when you say you're gonna call her back gonna ask Panam if I ask Panam for help I have to do all that and I still yeah we can do that I'm bothered about running through I still just wanted to have to decode it so so I can ask Panam for help but at the same time actually yeah we're gonna do that we're gonna ask Panam for help I don't mind about running through the whole thing again obviously I cut it for you guys because after we get the tank scene with Panam which is the best ending anyway hold up a minute oh we don't have to do that because even if you do leave with Panam you still get the uh we still get the the phone call from Panam after decode it that's Panam for help that's what I'm gonna do you're absolutely sure I'm sure about it my man I'm sure about it my man let's go let's go with that I'm gonna try this with Ben in but a feeling you're gonna regret this decision and the moment that dawns I won't be there to help could be my last ride this yes it could okay people so you don't really have to watch all this again we're gonna I'll cut to the end more or less because obviously it's it's all it's quite a journey from here to the end if you take this route with Panam which in my opinion is by far the best the best ending in this game stand up and call Panam let's do that hey Panam it is I know but need your help and you owe me a favor what's so damn urgent I couldn't wait until morning need a way into our socket tower now that's pretty cool sorry what I'm serious whole thing with Johnny I don't do some because the first call you gone the first call slow down like when I pick Kerry instead of picking Panam you wake up then and then you ring it back and ask you for the help but see this time around the only time I've spoke to you on the phone from this balcony see I wake up the first time we get straight into the conversation about how is that okay so that's pretty cool so the thought about that CDPR must have thought about that only place Johnny and I can disentangle for good it's my last chance and let's do a caller back after this but I'm pretty sure this is it just to be clear to ask me to help you break into our socket tower or you'll die about the gist of it yeah that's pretty cool to be honest okay okay okay where are you mix clinic the river right I know where it is can you hold off on dying for a bit give it a shot sure so this is actually turn that difference to the way I thought it was that's pretty cool okay so I'll cut the video here people and then we'll get to the end of that mission the epic mission why do you panam we'll see about the phone calls at the end see what happens so people we are literally at the last part this is the last mission all along the watch tower I'm literally two hours later people have recording I'm just gonna quickly run over here because there is if you didn't know an annihilation shard right in this box might as well grab that while I'm here no actually let's just so we can do to these boots what are you doing boy huh you're doing nothing anybody else want some of this you're running too I'm here to save my life and this dude is a no what are you gonna do what you got on you on that loot let me take that what was that a little epic over here a kursha no thanks no thanks and what we got got boots and there we have it people okay so let's get on with this thing let's get on with this thing I kind of call Kerry now all do what happens yeah I'm about to go off into the sunset we panam carry an answering for nothing you know this what bands of the core panaman as I try these things while we're here people you know what I mean I don't do them a call the edge okay my eyes the eyes she gives you let's go let's go people let's go can't keep away and you know what I mean now this is where I get into a tank we're getting to the the best of this can just get on with it so we're we'll skip all these people you don't need to see all this again as well this is quite long as well to be honest but I might not see you at all okay people so this is real weird because I just got to this stage here with panam where I get in the basilisk is it here I mean uh what's going on here there's Mitch there's panam and there's Kerry what did you think really glad to see you well that's I think he's probably supposed to get out of there start a great adventure gotta say it's looking a little apocalyptic okay so I did not expect this at all your adventure huh I hear that right well now is this supposed to happen I was going to be our adventure care we're so you let me think thought this would be a lot easier Kerry V I'm not going why what what are you saying V I can't leave not now not yet life's a party woo so long as you don't have to make any hard choices Kerry you're a dine in a nutshell that's not fair so is this supposed to happen I just don't know look city's a shit I have to do a bit research on these people honestly I did but it's the shit stain alley I know best get me concocted yourself a new beginning how to chose so this must be this must be what happens I just said I just didn't know it happened but I still got I just thought and you'll see to it without me not a problem I guess hey unfair no three months care can you get to this instance with all along to the watch tower or along the watch tower shit fuck without panum fight without taking that real romance I don't know if you can so what happens if you beat the game without doing the pan and romance and just do the carry on I'm guessing this is what happens hmm that is very interesting people please try to understand who says you'd even have to come back the fuck was all that chat about life's loops well thing with loops is we all got our own singular at base ours just intertwined for a bit for a bit I know I don't literally just run around looking for legendaries and things because I find a few legendaries in that contain that I picked up last time I was here well in a little in a locker in there I just run around and I saw this car I'm thinking oh what up a minute so go right now if you ever pass through a night city don't be a stranger all right give me a call yeah I promise that's cool people that is cool as heck I just I just didn't know that happened I didn't know that happened honestly I didn't I'm just gonna quickly stop here a second and check so I'm out just in case okay people so after having a look online and doing a little bit of research just not men that seem to know about this nomad carry you a dying ending I myself did not know about that I'm guessing what we have here with this romance option with panam no I'm thinking because I had you know what people I haven't run through this game not romance in panam so does the nomad panana help I mean if you're a female and you do the panam side missions do you still get the option to ask for her help that's another question for another video but I just didn't know you would get her all right we won't take care at the end of this as well which is pretty cool so there's this old smuggling tunnel but I do like that we'll aim to use that that's pretty cool it's near the wall I learned something new I'm guessing many people watching this I'm gonna learn that as well okay let's keep all this we know what this is all about people if we just we just make a run through it but yeah wow you know I'm looking at actually spam that because I just like I said I was just messing around I was just grabbing these um a cool jacket man that's scary where's all my gear gone that's terrifying I got I had way more than this I had way more than these people I had way more than this I'm hoping I get it all back but it's not too much of a shot right I got a few other characters like the back of our hand so even if I can skip all these people we skip all this I'm a ghost more so towards the end uh oh coming up to the credits I think that's best avoided you know what does he carry uradine looking lost in the middle of nowhere that was truly a sight yeah that was not how it was supposed to go was it Kerry came out to say goodbye he said he still had unfinished business night city I'm sorry I could have gone any other way so what so his panam like I just stepped out of room I've been picking up on mine and Kerry's relationship as well because there she just mentioned Kerry the middle of nowhere what the that's very cool indeed people it seems as though a romance in two people in one playthrough actually has an effect well saying that yeah it does it must do there's no other question about it it must do now we'll see at the end of this scene here if I'm snuggled up to panam on the end of that tank I'm guessing I'm gonna be so she's the game's picking up that romance two characters and I'm getting different my dialogue that's actually amazing I didn't think it was gonna play out these people honestly honestly but it's cool it's cool this is but this is by far the best ending guys I mean the panam ending is by far the best I was just wondering do you get panam's help can you ask for panam's help if you do a side mission even if you're female you still get that option I don't know I don't know people hopefully one of you guys can tell me down below here we go exactly what you wanted a new beginning slow down panam not yet that's cool man wait this is a it's it surprised me it surprised me the people asking about does romance in two people in one playthrough have an effect on anything it does it actually does which is crazy the game recognizes that you've got two romances in the one it's just that's badass it's amazing I love it I love it people yeah we've been here before where's my girl there she is that's what it's all about people there's gotta be dlc where we follow this path there's gotta be there's gotta be people it's gotta be people demanding it it's kind of the last we see of panam and that is that guys now we get the the video calls from certain mpcs we uh well encountered I guess I guess you've made us life out there in the desert getting some sun some fresh air in those lungs don't forget to get yourself a check up every once in a while and he does your dirt gets into that insulation you're done of course decent ripper is harder to find out there than a four star hotel so actually how about you just stop by when you're back in the city I think I could swing a little discount for an old regular like you till next time be to a next time Victor there's Judy I was just wondering how you've been from you in a while even large a night city all I think about is dropping everything and leaving he yet here I am still the city's like quicksand the more you try to get out the more it pulls you in once you're up to your knees you never get out like Evelyn Parkour look out for yourself okay I'm calling some time I finished her quest on his main couch actually see my mic Christ and run we did my heart still pound oh mad versus arasaka the odds were totally stacked against us I didn't know if we'd get out alive but hey we made it and you know why because you were the one leading the charge the craziest baddest murk from pacific into the apple agents I don't know what you're up to right now what your plans are just remember we walk through hell and back with you brother anytime until next time a take care next oh hey rogue here I wanted to oh voicemail why not V I was wondering if you could pass the message along to Johnny two messages too late for that one that he's an arrogant egotistical son of a bitch and second it was nice to talk to him again both of you take care of yourselves okay here's how's life on the road like they said it big status or is it more like fucks flattening as you win shields standing your breakfast rattlesnake sneaking up on you they said I don't know who you're trying to fool V badlands come on so not you sooner or later you'll be back in night city knows might even have it in me to forgive you and have funny possums bye hey hey so here's the thing couple fellas from the fifth precinct busted a shop selling illegal iron sawed-offs stun guns mustard gas canisters orders from mod up or to blow it all to the ground but then I thought maybe there's a better way to use all this stuff for a good cause and still remember what you did for us for me and Randy the city needs more people like you I want to make sure they're equipped this one's on maybe zero it's you a man this dude man is having no it is heck V you're gonna want to hear this the first you need to go somewhere no one's listening okay so my wife Elizabeth she's in on the whole thing she she keeps saying I should look after myself tells me to take these pills says they're vitamins got them analyzed at a lab and they look okay but but how am I supposed to know if somebody didn't falsify the results well when you get a sack call me okay oh yeah and don't forget to delete this message hmm crazy as multiple misty listen I was just thinking about you so I laid out a quick tarot I know I know the reading is not as strong without you here but we haven't seen each other for so long and I thought one thing led to another you know what I drew the chariot the lovers and the sun sounds about like you've got a good life ahead of you out in the badlands good luck V be free and I'm cool I'm guessing it's because what what's happened there is because a romance panel first then romance the carry but decided to go off into the sunset with panam game was be picking up and it but when the first time I did it uh did this ending without romancing carry just straight up panam all the way through people I did get a call from panam my video called from panam which is weird well yes people so it seems romancing two people with insane play who does actually affect the end in somewhat and it's cool to know I actually didn't think it was gonna start this video what almost three hours ago I didn't think it was gonna pay all but yes if you've enjoyed the journey and you've learned something new today you go ahead and smash that like button it really helps me and the channel out because thanks as always for stopping by hopefully you enjoyed it and hopefully I will see you on that next one


That's literally right on the flag Which you creased our little bit of a hybrid course. Do you know what honestly? That's about two foot away from the pin. This is the easiest golf club.  But the question is how far will you go to make your game the best it can possibly be to make golf the Easiest it can possibly be if it means putting a club in the bag That's maybe got a bit of a stigma attached to it if it's not the coolest looking club in the bag But it performs really well. Would you put it in the bag? The club in question is also very versatile You can use it in a number of positions and not just from the tee swing ball swing That's not too bad. It is of course a hybrid, but it's not just any ordinary hybrid So the question is what is so different about this particular hybrid and why am I saying it's the easiest club? I've ever used well, first of all, it's a ladies hybrid. That's the start It's by Callaway and it's called Riva. That's their range. They do a driver. They do fairway woods. They do hybrids I'm not sure they do irons or not. Maybe after this review I've got to check them out. The other thing that's massively different is the shaft both the length of it and the weight of it It's a 45 gram shaft. I Could almost snap it in half. It's that flexible the club head itself is a bit bulky in terms of how it sits Behind the ball. It's got 27 degrees worth of loft It's a five hybrid all of these things are something that I've never really tried before and as I've said already The easiest without doubt golf club that I've ever tried to play Right, so now you know what club it is the fact that it's a ladies golf club the fact that it's 45 grams shaft the factor like I said, it doesn't look the coolest club in the bag My question is would you game it because like I said I've been discussing with the camera lady all morning. This is probably as good a performing club as I've ever used It's so easy to launch. It seems to go straight all the time It's just it takes an easy swing to get it airborne. It travels good distance It takes all in boxes, but I still say there's no way I'd put this into my golf bag That's how shallow minded I am the question is comments down below Would you? The next thing that makes this particular hybrid really interesting to me on a personal level is the fact that it's 27 degrees the fact that I've never played a hybrid with that much loft on it before So again going back to my initial statement the easiest club I've ever played that loft is certainly a big help The length of shaft is a big help and I think the flex of the shaft and the weight of it's a massive help as well And we know that hybrid in general a real versatile club has said about chipping But you're in a lie like I've got currently and what I want to know is what 27 degrees worth of loft does in terms of helping Me get out of this kind of lie We've got a camera behind the green which you'll tell us It literally pops the ball up against so high so easy that was quite a heavy lie I was in there at 27 degrees again just adds so what's so great about this golf club So mega impressive what this club has done so far and I've already collected data But what I am going to do is I'm going to try a little bit very put a simulator hole up here at quail How long fairly straightforward? par 3 160 it's showing to the flag I just want to see if I can put my money where my mouth is and prove that this is the Easiest golf club I've ever hit about to eat your words And oh Maybe not That's a super strike. It's left of the pin if I I've got that right Yeah, look at the ball flight.  I mean that's just incredible what that ball has just done We haven't got descent angle on that. We'll have a look at that But that's literally coming down as you can see from the ball flight and that's stopping on a green almost immediately I cannot believe like I said just how easy this thing gets airborne That's a little bit more cutty but again won't be far off a little bit easier on the swing So hopefully you've got the yardage dipped a little you see the massive towering ball flight yet again We took some distance off we do well 162 carry Went past the flag on the right hand side and just Unbelievable seven and a half thousand revs a spin on that one ball speeds 120 Clubhead speed 84 mile an hour 20 degrees in terms of launch Seriously, this club would be an absolute weapon in the majority of average golf club Players bags, let me tell you if I can get them words out. I'm amazed at this thing, you know Right as far as I'm concerned I can do a little more in terms of testing We've tried it from a number of different positions. We've tried it off the ground We try the grass. We've tried it from the roof. We've tried it a little chip and ronin That's what makes a hybrid so versatile in the first place But what makes this difference is a that it's a woman's club and maybe that makes no difference at all Maybe they're just exactly the same as the men's the shaft was certainly really light and that 27 degrees Don't forget. I think is a massive help for most average golfers would benefit from playing a lofted hybrid Based on what I found today When I start off with the numbers different I'm going to start off with dispersion because first of all that's the important bit to me You have a look what's up there now. There's one long left which I've turned over a little bit But the rest of them are very much grouped. I'd be hitting greens I'd be more than happy with that dispersion as an average golfer. You then turn into the data itself 82 mile an hour clubhead speed But look at the ball speed is the bit that really interests me First of all, it's its consistency Which I find suggest that I'm fine in the middle and if I'm not fine in the middle then there's forgiveness either side because we're 113 on average But 110 to 116 the top ball speed Spin rate 4 to 50, which again, don't forget. We're a 27 degree club in hand here Carry distance of 167 Now again, there's two balls there 177 and 175 that are again They're longer, but it's reflective in how hard I hit the ball how fast the clubhead speed was if you like with the two longer balls Peak height 98 on average again the ball flight you've seen from what we did in terms of that The two holes that we played two balls. I hit on the par 3 a quail hollow tower in ball flight And so easy to launch and I'll add an angle of 46.9 That if you took ball two out the equation of 41.1, that'd make a big difference And the ball is coming down the steepest angle and stopping on greens Go back to the original question or title of this video about why is this the easiest I've ever hit? Well, it was because it literally needed zero effort from me whatsoever I felt so comfortable at address. I felt like I needed to put nothing on it whatsoever Just swing a natural smooth rhythm get that swing going and the club did the rest It launched the ball so high it maintained a high ball speed and to be carrying that sort of 165 distance What a great club to have in the bag now taking the women's thing out the equation Which may be an issue for most men's but a women's golf club in the bag I don't think that's a major thing But obviously there is a man's equivalent for that lighter weight shaft again It's very much similar to another video I did recently with driver shafts. They're definitely worth looking at Lightweight shafts and heavyweight. All I'm saying is don't go with the norm Don't go with you always play try either end of the spectrum and just find out that that could be A real game changer in terms of your own bag Anyway, thanks as ever for watching. I really enjoyed that one on a personal level The question is will that hybrid end up in my bag? You'll have to watch future on course videos to find out Comments down below your own experiences. Have you tried them? What are your thoughts on this? What are your thoughts on shaft weight? How much of a difference it may all matters to me and your fellow golfers to read those comments So, uh, that's it another one done. I'll see you all very soon


Hello and welcome to the session. In this session, we discussed the following question that says, simplify 1 upon 2 log 25 minus 2 log 3 plus log 18. Before we move on to the solution, let's discuss some laws of logarithm. First, we have log of m multiplied by n to the base a is equal to log m to the base a plus log m to the base a then log m upon m to the base a is equal to log m to the base a minus log n to the base a and log m to the power n to the base a is equal to n into log of m to the base a. This is the key idea that we use for this question. Let's proceed with the solution now. We need to simplify the expression 1 upon 2 log 25 minus 2 log 3 plus log 18. Now, using this law that is the third law here, we will simplify these two terms. So we get this is equal to log of 25 to the power of 1 upon 2 minus log of 3 square plus log 18 as it is. Now, this is equal to log of 25 is 5 square whole to the power 1 upon 2 minus log 3 square that is 9 plus log 18. This is further equal to log 5 plus log 18 minus log 9. Now, since we know that log of m multiplied by n to the base a is equal to log m to the base a plus log n to the base a. So using this law, we get this is equal to log of 18 multiplied by 5 minus log 9 that is we have log 90 minus log 9. Now, from the second law stated here, we have log of m upon n to the base a is equal to log m to the base a minus log n to the base a. So using this law, we get this is equal to log 90 upon 9. Now 9, 10 times is 90. So this is equal to log 10. Now, as we know that when the base is not indicated, it means that the base is 10. So this could also be written as log 10 to the base 10 and we know that log of a to the base a is equal to 1. So log of 10 to the base 10 is equal to 1. So finally, we have half into log 25 minus 2 log 3 plus log 18 is equal to 1. This is our final answer. This completes the session. Hope you have understood the solution of this question.


This paper examines several methods of installing solar panels for autonomously supplying weather stations in remote locations. It compares the advantages and disadvantages of each method, as well as the optimal algorithms for solar panel placement. A simulation of a weather station's power system is conducted, taking into account the environmental conditions of the region where the station is located. Finally, a practical example of using this methodology is presented, showing how solar panels can be used to reduce costs and increase reliability of the power system. This article was authored by Boris V. Malozyimov, Nikita V. Martyasev, Elena V. Voitovich and others.