MATLAB: What is EPOCH in neural network

Deep Learning Toolboxepochneural network

HI what is the definition of EPOCH. is it just an iteration. for each epoch, all the data sets go for training with assumed weights and biases.?? OR, does epoch has a size also, where after that size, the weights adgustments happen and runs again for other size.

Pl clarify me.

Thanks, Charu

Best Answer

An epoch is a measure of the number of times all of the training vectors are used once to update the weights.

For batch training all of the training samples pass through the learning algorithm simultaneously in one epoch before weights are updated.

help/doc trainlm

For sequential training all of the weights are updated after each training vector is sequentially passed through the training algorithm.

help/doc adapt

Hope this helps.

Thank you for formally accepting my answer

Greg

P.S. The comp.ai.neural-nets FAQ can very helpfull for understanding NN terminology and techniques.

Greg

Related Solutions

MATLAB: How to train a feedfordward neural network with error weights

 Use the command window
 help mse
 doc mse

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Does train function return neural network with the weights of last epoch or the weights of the model with the smallest loss of all epochs

You can refer to Early Stopping & Improve Shallow Neural Network Generalization and Avoid Overfitting documentation.

According to it "When the validation error increases for a specified number of iterations (net.trainParam.max_fail), the training is stopped, and the weights and biases at the minimum of the validation error are returned."

For more information on the "net.trainParam.max_fail" parameter, enter the following in command window:

help nnparam.max_fail

Best Answer

Related Solutions

MATLAB: How to train a feedfordward neural network with error weights

MATLAB: Does train function return neural network with the weights of last epoch or the weights of the model with the smallest loss of all epochs

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