"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

April 27, 2017

Day #66 - Maths behind backpropagation

Today it's mathematical learning for neural network fundamentals.
  • In Neural Network, Network forward propagates activation to produce output and it back propagates error to determine weight changes
  • Partial Derivative - Derivative of one of the variables holding the rest constant
  • Backpropagation uses gradient descent method, one needs to calculate the derivative of squared error function with respect to the weights of the network.
Happy Learning!!!

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