Train a small convolutional neural network to classify 32x32 color images across 10 classes (airplane, automobile, bird, cat, ...). Download CIFAR-10, build DataLoaders, define a CNN with batch-norm, train it on a GPU, and evaluate with accuracy and a confusion matrix. Variables persist across cells — download once, use everywhere.
Data Download
Data Parsing
Training
Evaluation / Metrics
Premium Project
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