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I Built a Neural Network You Can Watch Train โ€” Forward Pass, Loss, and Backprop, Animated (opens in new tab)

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Every neural-network tutorial I tried threw equations at me before I ever saw what was actually happening. I wanted the reverse: watch the activations flow forward, watch the loss bars shrink, watch backprop push gradients right-to-left across the layers. So I built it. Here's a neural network that trains itself in front of you ๐Ÿ‘‡ What you're actually seeing Forward pass โ€” particles flow left โ†’ right as activations propagate through the layers. Loss โ€” bars drop each epoch, and the output neuro...

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