Скачать с ютуб Back Propagation in training neural networks step by step в хорошем качестве

Back Propagation in training neural networks step by step

Hey! I'm creating an end-to-end ML course, from data to deployment. Sign-up if you are very interested. https://bevan-smith-data-science.kit.... This video follows on from the previous video Neural Networks: Part 1 - Forward Propagation. I present a simple example using numbers of how back prop works. 0:00 Introduction 0:35 Our silly dataset 0:55 Recap of forward propagation 2:00 Backpropagation beginning 3:00 Intuition behind backpropagation 4:45 The best way to carry out backprop is by using gradient descent 4:50 What is gradient descent? 7:00 What is a partial derivative? 7:30 What is a cost function? 8:05 Partial derivative formula using the chain rule 13:35 Update the weights and biases using gradient descent 14:00 What is a learning rate? 14:10 Gradient descent formula and full examples 24:26 Updated weights 25:00 Stochastic gradient descent 26:30 What is an epoch? 27:10 Unresolved questions. Learning rate; stochastic gradient descent; activation function;