Unverified50% confidenceFactExact time
The Softmax function converts the raw scores of multiple neurons in the output layer into a probability distribution: softmax(z_i) = e^{z_i} / Σ_j e^{z_j}, and together with cross-entropy loss it is commonly used for multi-class tasks.
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10/19/2026
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Building a Neural Network from Scratch with NumPy: A Hands-On Deep Dive into Backpropagation
redditr/deeplearning10/19/2026
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