@yqolgzdq882: During a forward pass, data is passed through an input, then hidden layers. The hidden layer computes a weighted sum of its inputs, adds a bias, and applies the ReLU activation function, which outputs the value directly if it is positive and zero otherwise. This introduces non-linearity, enabling the network to learn complex patterns. Finally, the output layer processes these activations using the sigmoid function, which squishes the values to a range between 0 and 1. Credit: vcubingx (yt) Join our AI community for more posts like this @aibutsimple 🤖 #ai #ml #datascience #data #deeplearning

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Saturday 28 March 2026 13:47:40 GMT