This is my version of the course Learn PyTorch for Deep Learning: Zero to Mastery
This course will teach you the foundations of machine learning and deep learning with PyTorch (a machine learning framework written in Python).
| Section | What does it cover? | Exercises & Extra-curriculum | Slides |
|---|---|---|---|
| 00 - PyTorch Fundamentals | Many fundamental PyTorch operations used for deep learning and neural networks. | Go to exercises & extra-curriculum | Go to slides |
| 01 - PyTorch Workflow | Provides an outline for approaching deep learning problems and building neural networks with PyTorch. | Go to exercises & extra-curriculum | Go to slides |
| 02 - PyTorch Neural Network Classification | Uses the PyTorch workflow from 01 to go through a neural network classification problem. | Go to exercises & extra-curriculum | Go to slides |
| 03 - PyTorch Computer Vision | Let's see how PyTorch can be used for computer vision problems using the same workflow from 01 & 02. | Go to exercises & extra-curriculum | Go to slides |
| 04 - PyTorch Custom Datasets | How do you load a custom dataset into PyTorch? Also we'll be laying the foundations in this notebook for our modular code (covered in 05). | Go to exercises & extra-curriculum | Go to slides |
| 05 - PyTorch Going Modular | PyTorch is designed to be modular, let's turn what we've created into a series of Python scripts (this is how you'll often find PyTorch code in the wild). | Go to exercises & extra-curriculum | Go to slides |
| 06 - PyTorch Transfer Learning | Let's take a well performing pre-trained model and adjust it to one of our own problems. | Go to exercises & extra-curriculum | Go to slides |
| 07 - Milestone Project 1: PyTorch Experiment Tracking | We've built a bunch of models... wouldn't it be good to track how they're all going? | Go to exercises & extra-curriculum | Go to slides |
| 08 - Milestone Project 2: PyTorch Paper Replicating | PyTorch is the most popular deep learning framework for machine learning research, let's see why by replicating a machine learning paper. | Go to exercises & extra-curriculum | Go to slides |
| 09 - Milestone Project 3: Model Deployment | So we've built a working PyTorch model... how do we get it in the hands of others? Hint: deploy it to the internet. | Go to exercises & extra-curriculum | Go to slides |
| PyTorch Extra Resources | This course covers a large amount of PyTorch and deep learning but the field of machine learning is vast, inside here you'll find recommended books and resources for: PyTorch and deep learning, ML engineering, NLP (natural language processing), time series data, where to find datasets and more. | - | - |
| PyTorch Cheatsheet | A very quick overview of some of the main features of PyTorch plus links to various resources where more can be found in the course and in the PyTorch documentation. | - | - |
| A Quick PyTorch 2.0 Tutorial | A fasssssst introduction to PyTorch 2.0, what's new and how to get started along with resources to learn more. | - | - |