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Deep Learning with PyTorch Step-by-Step: Part I - Fundamentals
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Introduction
Why PyTorch?
Course Overview
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
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
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
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
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
Conclusion
What's Next?
Appendix
Setup Guide
Running TensorBoard
Dynamic Computation Graphs
Learn about dynamic computation graphs.
We'll cover the following
Introduction to dynamic computation graph
Plotting graphs of tensors
Plotting without gradients
Complex dynamic computation graphs
Jupyter notebook
Introduction to dynamic computation graph
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