Derivation of Weight Equation in Back Propagation Algorithm Artificial Neural Networks Algorithm Machine Learning by Mahesh Huddar

We use the Stochastic gradient descent rule to derive the equation for updating weights in the backpropagation algorithm.
Stochastic gradient descent involves iterating through the training examples one at a time, for each training example, d descending the gradient of the error Ed with respect to this single example.

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The following concepts are discussed:
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Derivation of the backpropagation algorithm,
backpropagation neural network,
backpropagation algorithm in the neural network,
the backpropagation learning algorithm,
backpropagation algorithm in machine learning,
backpropagation in neural networks,
backpropagation algorithm,
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gradient descent algorithm,
gradient descent method,
perceptron training algorithm,
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