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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.

Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 40m
Published
Clock icon Mar 18, 2025

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Table of Contents

Danny Sullivan is a former special education teacher and professional baseball player that moved into software development in 2014. He’s experienced with Ruby, Python and JavaScript ecosystems, but enjoys Ruby most for its user friendliness and rapid prototyping capabilities.

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