Choose optimal number of epochs to train a neural network in Keras
One of the critical issues while training a neural network on the sample data is Overfitting. When the number of epochs used to train a neural network model is more than necessary, the training model learns patterns that are specific to sample data to a great extent. This makes the model incapable to perform well on a new dataset. This model gives high accuracy on the training set (sample data) but fails to achieve good accuracy on the test set. In other words, the model loses generalization capacity by overfitting to the training data.
[mai mult...]





