best optimiser and loss function and metric combination in deep learning code example
Example: loss funfction suited for softmax
model.compile(loss='categorical_crossentropy', optimizer=opt, metrics=['accuracy'])
model.compile(loss='categorical_crossentropy', optimizer=opt, metrics=['accuracy'])