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License: MIT License
Using various CNN techniques on the MNIST dataset
License: MIT License
When creating a model, model.add(BatchNormalization())
is to add the layer, while BatchNormalization()
is to call the constructor and does nothing.
The way you use test set is invalid. You use test set to show that your training is complete, that's incorrect.
Usually we separate a small portion, say 1/10, as validation set, then we do the training and observe error on training set and validation set.
Error on training set usually decreases, but with increased sweeps/epoch on training set, error on validation set goes down then slightly up, indicating the model's over-fitting over training set. That is when you should stop training.
The test set is only used to examine the performance of the model when it is trained. Beware! Sweeps/Epoch is a hyper-parameter you tune for the model. You only use validation set to tune it.
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