How to normalize, mean subtraction, standard deviation, zero center image dataset in Python?
standardize the inputs to your network as much as possible, so that learning is more stable by reducing variability across the training data. In terms of normalization of the data, that all features are in the same range so that they contribute equally.
Keras Custom Training Loop
You can do this whether you’re building Sequential models, Functional API models, or subclassed models. Using this custom training algorithm, you still get the benefit from the convenient features of fit(), such as callbacks, built-in distribution support, or step
Get Class Labels from predict method in Keras
In multi-classes classification last layer use “softmax” activation, which means it will return an array of 10 probability scores (summing to 1) for 10 class. Each score will be the probability that the current class belongs to one of our 10 classes.