<filename>models/modelTemplate.py
# Use the models directory to store different network architectures

# Note: it may be that we really only have one model architecture, in which
# case this should probably be moved into the backend


# function that returns a compiled Keras model
# params: model parameters (number of neurons, inputs, outputs, etc)

def model(params):
    pass



<filename>models/modelTemplate.py
# Use the models directory to store different network architectures

# Note: it may be that we really only have one model architecture, in which
# case this should probably be moved into the backend


# function that returns a compiled Keras model
# params: model parameters (number of neurons, inputs, outputs, etc)

def model(params):
    pass



# Use the models directory to store different network architectures # Note: it may be that we really only have one model architecture, in which # case this should probably be moved into the backend # function that returns a compiled Keras model # params: model parameters (number of neurons, inputs, outputs, etc)