if __name__=="__main__":
    from DeepModel import large_cnn_model, x_train, y_train,x_test,y_test
    
    large_cnn_model.fit(x_train,y_train,validation_data=(x_test,y_test),
                        epochs=10,batch_size=200,verbose=2)
    large_cnn_scores = large_cnn_model.evaluate(x_test,y_test,verbose=0)
    print("Large CNN Accuracy: {:.2f}%".format(large_cnn_scores[1]*100))
    print("Large CNN Error: {:.2f}%".format(100-large_cnn_scores[1]*100))