Deep Learning with PyTorch Step-by-Step: Part I - Fundamentals

Recap

Understand how to build a complete PyTorch class covering initialization, training steps, data loaders, checkpointing, and predictions. This lesson helps you recap and solidify key concepts to manage model workflows efficiently.

We'll cover the following...

General overview
Jupyter notebook

1.Introduction

2.Visualizing Gradient Descent

3.A Simple Regression Problem

4.Rethinking the Training Loop

5.Going Classy

6.A Simple Classification Problem

7.Conclusion

8.Appendix

Recap

General overview