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22:32
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Protorials By Saif
Backpropagation Explained: Updating Weights and Biases in an MLP
In this video, we break down the core engine of neural network learning: Backpropagation. We walk through a practical example of how a Multilayer Perceptron (MLP) identifies errors and adjusts its internal parameters to improve accuracy. Step-by-Step Example Walkthrough: Forward Pass: Calculate the output and the total error. Output Layer ...
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