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A polished, living guide for mastering Java—projects, patterns, clean code, and curated resources. |
Core ANN concepts and implementations: perceptrons, activations, loss, training, and experiments. |
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End-to-end CNN work: conv/pooling blocks, training loops, metrics, and visualization utilities. |
Classifies facial emotions with a compact model and clean, reproducible inference pipeline. |
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