Backpropagation in PyTorch: autograd, Step by Step

loss.backward() can look like magic. Here is exactly what autograd does under the hood.

Part 03 of the MLPath Deep Learning series: clear, visual explanations of how neural networks really work, each paired with a runnable PyTorch walkthrough.

Chapters:
0:00 Intro
0:28 Forward
0:54 Backward
1:15 Update
1:33 Zero
1:53 Loop

What you'll learn:
- How autograd records the computation graph
- What .grad holds after backward
- Why you zero gradients each step

#MachineLearning #DeepLearning #Backpropagation #AI #PyTorch

Видео Backpropagation in PyTorch: autograd, Step by Step канала MLPath io