- Lab
-
Libraries: If you want this lab, consider one of these libraries.
- 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.
Lab Info
Real skill practice before real-world application
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.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
Follow your guide
All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.