Intro to Deep Learning with PyTorch (Udacity)

Workshops
Libraries
Deep learning
PyTorch
Udacity
Code-along
Author

Chris Endemann

Published

July 15, 2024

About this resource

The Intro to Deep Learning with PyTorch workshop from Udacity will walk you through introductory deep learning concepts as well as how to build a neural networks in PyTorch. PyTorch is one of the most popular deep learning frameworks. Known for its speed and more “Pythonic” feel, it is frequently the go-to choice for most researchers. The biggest downside of PyTorch, compared to a high-level framework like Keras, is that it is quite verbose. That is, you’ll need to write a couple hundred lines of code to train and evaluate your neural network. Keras is a great alternative for those who are just getting started with neural networks or those that don’t need to train many models, as you can train/evaluate in just a dozen or so lines of code.

Prerequisites

Learners are expected to have the following knowledge:

  • Basic Python programming skills and familiarity with the Pandas package. If you need a refresher, these Introductory Python lesson materials are available for independent study.

Estimated time to complete

TBD: Use the Improve this page functionality to add your own estimate!

Questions?

If you any lingering questions about this resource, please feel free to post to the Nexus Q&A on GitHub. We will improve materials on this website as additional questions come in.

See also