Derive Backpropagation Algorithm for Neural Networt Training [Lecture 5.6]

"How is the backpropagation algorithm related to the delta rule? Why is backpropagation so efficient? How to derive the backpropagation algorithm?"
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Part 1: Why Neural Networks for Machine Learning?
• Why Neural Networks fo...
Part 2: Building Neural Networks - Neuron, Single Layer Perceptron, Multi Layer Perceptron
• Building Neural Networ...
Part 3: Activation Function of Neural Networks - Step, Sigmoid, Tanh, ReLU, LeakyReLU, Softmax [
• Activation Function of...
Part 4: How Neural Networks Really Work - From Logistic to Piecewise Linear Regression
• Activation Function of...
Part 5: Delta Rule for Neural Network Training as Basis for Backpropagation
• Delta Rule for Neural ...
Part 6: Derive Backpropagation Algorithm for Neural Network Training
• Derive Backpropagation...
Part 7: Gradient Based Training of Neural Networks
• Gradient Based Trainin...
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The idea of backpropagation is multiple application of the delta rule. The algorithm calculates the gradient of a cost function for a multi layer perceptron (MLP). This is a neural network with multiple neuron layers. The expression for the weight updates of the MLP is derived with the chain rule.

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wonderful !