- Lab
- AI
Building Neural Networks with PyTorch
In this lab you will train a simple neural network to recognize handwritten digits using the MNIST dataset. You'll learn how to load and preprocess image data, define a model, apply stochastic gradient descent, and track loss during training. This hands-on project builds foundational deep learning skills with PyTorch.
Path Info
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.