L - 3.11 : Backpropagation Explained | How Neural Networks Learn | Fitting a Neural Network
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L - 3.11 : Backpropagation Explained | How Neural Networks Learn | Fitting a Neural Network
In this lecture, we understand how neural networks are trained using Backpropagation. Training a neural network means finding the optimal weights that minimize prediction error, and this is done using gradient descent and the backpropagation algorithm This video explains the mathematical intuition behind fitting a neural network, including the ...
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