What is Overfitting
Overfitting is when the neuralnet changes to adapt so much to a specific set of data.
Overfitting happens when
The number of training samples are too few The number of neurons and layers are too much Prevent Overfitting
Use Data Split
Split training data into training set and test set.
Use Regularisation
To limit weight range into a small range, the rest of the range for weight values should be for those training sample unknown yet.
