NLP knowledge - pytorch, back propagation, some small pieces of notes for predictive tasks

notes ： This note is for Li Hongyi 2021/2022 Spring machine learning course B Stop video

PyTorch Brief introduction to

Concrete PDF The file link , The third one

p13 in Neural Network notes （ Jody 24 minute ）

About W1,x,B1 The details of the

From a macro point of view

Backpropation（ Back propagation ： Calculate the gradient of the loss function to each parameter in the neural network , Update parameters with optimization method , Reduce the loss function .）

Forward Pass：

Backward Pass

Backpropation