Deep Learning, Neural Networks, Keras, Python.
validating the model # training the model model_m.fit(x = scaled_train_samples_mult, y = train_labels, batch_size= 10, epochs = 30, validation_split= 0.1, shuffle = True, verbose = 2 ) The x and y parameters are pretty intuitive — NumPy arrays of predictor and outcome variables, respectively.