keras 框架学习
keras 中 model.evaluate 和 model.predict 的区别:
# 评估模型,不输出预测结果,需要测试数据和真实标签
loss,accuracy = model.evaluate(X_test, Y_test)
print('\ntest loss',loss)
print('accuracy',accuracy)
#模型预测,输入测试集,输出预测结果,不需要真实标签
y_pred = model.predict(X_test, batch_size = 1)
https://blog.****.net/qq_27261889/article/details/85160358
keras从训练到预测,函数的选择:fit,fit_generator, predict,predict_generator
https://www.cnblogs.com/hhh5460/p/10217000.html
使用keras的LSTM进行预测