Discussion
In artificial neural network (ANN) training, epochs represent the total number of :
Answer: B
An epoch is one complete pass of the training data through the network.
In one epoch every example in the training set is presented once, forward through the network and with the error propagated back to update the weights, whether one example at a time or in mini-batches. Training usually runs for many epochs, so the number of epochs is the number of such passes.
Epochs have nothing to do with the number of input-layer nodes or of nodes in the network, and the test data is kept out of training altogether, used only to evaluate the trained network.
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