Every optimizer in PyTorch is about two lines. Here is how to wire them up, and when to use each.
Part 04 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
0:31 Sched
0:41 Loop
1:03 What's next
What you'll learn:
Creating SGD, Adam, and AdamW
Setting learning rate and weight decay
Adding a learning rate schedule
Full Deep Learning playlist: • Neural Networks, Visually Explained
#MachineLearning #DeepLearning #Optimizers #AI #PyTorch