- Lab
- AI

Convolutional Networks with PyTorch: Image Recognition
In this lab, you'll build a Convolutional Neural Network (CNN) with PyTorch to perform image classification. You'll explore how filters detect features like edges and shapes, construct a CNN architecture, train it on image data, evaluate its performance using accuracy and confusion matrices, and visualize what the model learns through feature maps.

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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.