if 0: model.save("neuralNetModel.pkl") #%% Model creation if 1: model = NeuralNet(Epochs=1e4, learning_rate=1e-6, batch_size=10000, verbose=False, regularisation=1e-9) model.add_layer(nnet_layer(2304, 200)) model.add_layer(nnet_layer(200, 7)) refit = False else: model.Epochs = 1e4 model.learning_rate = 1e-6 model.batch_size = 10000 model.verbose = False model.regularisation = 1e-9 # model.Epochs = 100000 # model.learning_rate = 1e-6 # #%% Training if 1: model.train(X_train, T_train) #%% Predicting and testing if 1: