Initialize Network Object for Feed-forward Back-Propagation Network (New)
Network topology, in 1 x m layers including input and output layers, [Input layer nodes, Hidden layer nodes, Output layer nodes]. If the network is more than one hidden layer, repeat with another number in the "Hidden layer nodes" part.
Range of the weights initial values
Activation functions for each layers
Learning rate
Function to calculate cost, currently support "mse", "crossentropy", "categorical_crossentropy"
L2 regularization
Minibatch size
Initialize Network Object for Feed-forward Back-Propagation Network Base on Andrew Ng's Coursera Deep-Learning Specialization Course.