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What Actually Happens When a Neural Network Learns
Here is what actually happens when a neural network learns. On the forward pass input data flows through each layer, gets multiplied by weights, and produces a prediction. That prediction gets compared to the correct answer and the difference is the loss. Then on the backward pass the network works in reverse. It figures out how much each ...
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