How to calculate the number of parameters of AlexNet?
<p>i haven't found a calculation of parameters (weights + biases) of <a href="https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf" rel="noreferrer">AlexNet</a> so I tried to calculate it, but I'm not sure if its correct:</p>

<p>conv1: (11*11)*3*96 + 96 = 34944</p>

<p>conv2: (5*5)*96*256 + 256 = 614656</p>

<p>conv3: (3*3)*256*384 + 384 = 885120</p>

<p>conv4: (3*3)*384*384 + 384 = 1327488</p>

<p>conv5: (3*3)*384*256 + 256 = 884992</p>

<p>fc1:   (6*6)*256*4096 + 4096  = 37752832 </p>

<p>fc2:   4096*4096 + 4096  = 16781312</p>

<p>fc3:   4096*1000 + 1000  = 4097000</p>

<p>this results in a total amount of 62378344 parameters. Is that calculation right?</p>