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Title: Backpropagation--5 Download
 Description: Backpropagation, an abbreviation for backward propagation of errors , is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of a loss function with respects to all the weights in the network.
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FilenameSizeDate
Backpropagation 5\Automated Regularization (trainbr).m
..................\Batch Gradient Descent (traingd).m
..................\Batch Gradient Descent with Momentum (traingdm.m
..................\feedfor.m
..................\Fletcher-Reeves Update (traincgf).m
..................\Levenberg-Marquardt (trainlm).m
..................\Modified Performance Function.m
..................\One Step Secant Algorithm (trainoss).m
..................\Polak-Ribiére Update (traincgp).m
..................\Powell-Beale Restarts (traincgb).m
..................\Quasi-Newton Algorithms (trainbgf).m
..................\Resilient Backpropagation (trainrp).m
..................\Sample Training Session.m
..................\Scaled Conjugate Gradient (trainscg).m
..................\Variable Learning Rate (traingda traingdx).m
Backpropagation 5

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