Forward Propagation | How a neural network predicts output?
Channel: CampusX
Date: 2022-03-05

Forward Propagation is a fundamental step in the functioning of neural networks. It involves the transmission of input data through the network's layers to produce an output. Each layer processes the input using weights and activation functions, ultimately generating a prediction. This process is crucial for understanding how neural networks make predictions.

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