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一、模型搭建流程
1.构建模型
model = Sequential() 或者 model = RNN_Model()
2.编译(配置)模型
model.compile(loss=‘categorical_crossentropy’, optimizer=‘sgd’, metrics=[‘accuracy’])
3.训练模型
model.fit(x_train, y_train, epochs=5, batch_size=32)
4.评估模型
loss_and_metrics = model.evaluate(x_test, y_test, batch_size=128)
5.模型预测
classes = model.predict(x_test, batch_size=128)