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AI Features

Evaluate the Performance of the Neural Network

Explore how to evaluate your neural network's performance by training on 60,000 MNIST images and testing on 10,000 images. Learn to calculate accuracy scores, interpret results, and compare your network's effectiveness to established benchmarks. This lesson helps you understand practical performance testing for your Python-built neural network.

Training and testing with a full dataset

Previously, we added a simple code to work out the ...