What is gradient boosting?
Why is gradient boosting named that?
What is an intuitive explanation of gradient descent? What is physical meaning of scalar gradient? What is physical meaning of gradient of scalar function? Morphogenetic gradients? Is it normal for gradient descent to slow down over time? What is a concentration gradient and what is it used for? What is a concentration gradient and how is it used? What is reinforcement learning? What does it mean to go against the concentration gradient? Why can't we use boosting to improve the accuracy of SVM? What does it mean to say that a layer in a convolutional neural network has a pooling stride of 2,2? What's it mean to move down concentration gradient? Can I use boosting algorithms with SVM as weak learner? What is velocity gradient? How does one calculate the gradients of a convolution neural network? Why is a neural network structured with layer? What does 'hypergrowth' mean? Does TensorFlow have the PReLu activation function defined for use in training Neural Networks? OPTIMIZATION: What are some tips for debugging a gradient descent algorithm that isn't converging? How do you calculate the gradient of a kernel value in a convolution neural network? How are complementary colours coded for in neural circuits? In deep Q learning, how we update the weight in neural network? What is Muscle Boost X? What is ecological gradient and what factors does it relate to? What is the modulation recognition? What is bias in artificial neural network? Why curl (rot) is a cross product between gradient and vector field? Is there any intuition for this? What is the physical meaning of velocity gradient? Does step up height increaser works? What is accelerated learning?