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

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1.Introduction

Why PyTorch?Course Overview

2.Visualizing Gradient Descent

Spoilers Gradient Descent Data Generation Basic Steps for Using Gradient Descent (Step 0 and 1)Step 2a - Compute the Loss Step 2b - Computing the Loss Surface Step 3 - Compute the Gradients Step 4 - Update the Parameters Learning Rate Scaling the Dataset Step 5 - Rinse and Repeat!Recap Quiz Challenge 1 - Visualizing Gradient Descent Solution Review - Visualizing Gradient Descent

3.A Simple Regression Problem

Spoilers Reviewing the Steps of Gradient Descent Linear Regression in Numpy PyTorch Tensors Loading Data, Devices, and CUDA Creating Parameters Quiz Autograd Updating Parameters Dynamic Computation Graphs Optimizer Loss Quiz Model Model Types Layers Putting It All Together Recap Quiz Challenge 2 - A Simple Regression Problem Solution Review: A Simple Regression Problem

4.Rethinking the Training Loop

Spoilers Introducing Higher-Order Functions Rethinking the Training Loop Building a Dataset DataLoader Quiz Mini-Batch Inner Loop and Training Split Evaluation TensorBoard SummaryWriter Saving and Loading Models Deploying / Making Predictions Putting It All Together Recap Quiz Challenge 3 - Rethinking the Training Loop Solution Review - Rethinking the Training Loop

5.Going Classy

Spoilers Going Classy Functions Different Method Types Training Methods Saving and Loading Methods Finalising the Methods needed for going Classy Classy Pipeline Model Training and Predictions Checkpointing Putting It All Together Recap Quiz Challenge 4 - Going Classy Solution Review - Going Classy

6.A Simple Classification Problem

Spoilers Classification Problems Model for Classification Problems Sigmoid and Logistic Regression Quiz Loss Binary Cross-Entropy Loss in PyTorch Imbalanced Dataset Model Configuration, Training, and Predictions for Classification Decision Boundary Classification Threshold and Confusion Matrix Metrics Trade-offs and Curves Best + Worst Curves and Models Putting it All Together Recap Quiz Challenge 5 - A Simple Classification Problem Solution Review: A Simple Classification Problem

7.Conclusion

8.Appendix

Setup Guide Running TensorBoard

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

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Recap

Recap

A quick overview of what you have learned, and test it on the provided notebook.

We'll cover the following...

General overview

We have covered a lot of ground in this chapter:

Writing a higher-order function that builds functions to perform training steps.
Understanding PyTorch’s Dataset and TensorDataset classes, implementing its __init__, __get_item__, and __len__ methods.
Using PyTorch’s DataLoader class ...