epochs = 100
batch_size = 100
n_filters = 10
n_neurons_connected = 50
n_categories = 10

eta_vals = np.logspace(-5, 1, 7)
lmbd_vals = np.logspace(-5, 1, 7)
CNN_tf = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object)
        
for i, eta in enumerate(eta_vals):
    for j, lmbd in enumerate(lmbd_vals):
        CNN = ConvolutionalNeuralNetworkTensorflow(X_train, Y_train, X_test, Y_test,
                                      n_filters=n_filters, n_neurons_connected=n_neurons_connected,
                                      n_categories=n_categories, epochs=epochs, batch_size=batch_size,
                                      eta=eta, lmbd=lmbd)
        CNN.fit()
        
        print("Learning rate = ", eta)
        print("Lambda = ", lmbd)
        print("Test accuracy: %.3f" % CNN.test_accuracy)
        print()
            
        CNN_tf[i][j] = CNN