Share 'Elegant Representation of Forward and Back Propagation in Neural Networks'
Sometimes, you see a diagram and it gives you an ‘aha ha’ moment. Here is one representing forward propagation and back propagation in a neural network:
A brief explanation is:
Using the input variables x and y, The forwardpass (left half of the figure) calculates output z as a function of x and y i.e. f(x,y)
The right side of the figures shows the backwardpass.
Receiving dL/dz (the derivative o…
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