How do you use？Have a demo?

[Heyxiang]

[yummy2108]

import keras import os from keras.models import model_from_json import h5py from keras.models import Sequential, Model from keras.layers import Dense, LSTM, Activation, Input from keras.optimizers import adam, rmsprop, adadelta import numpy as np from keras.utils import to_categorical from keras.models import load_model json_file = open('model.json','r') x_test = h5py.File('x_val.hdf5','r') y_test = h5py.File('y_val.hdf5','r') loaded_model_json = json_file.read() json_file.close() model = model_from_json(loaded_model_json) model.load_weights("weights.hdf5") print("Loaded model from disk") print(list(x_test.keys())) print(list(y_test.keys())) x_test = x_test['x_val'][:] y_test = y_test['y_val'][:] y_test = to_categorical(y_test) print(x_test[0],x_test[1]) print(y_test[0],y_test[1]) #a = model.get_config() #print("model config is ",a) model.compile(optimizer='rmsprop', loss='mse') accuracy = model.evaluate(x_test,y_test) print('accuracy',accuracy)