【716】Keras实现多输入

 

参考：Keras: Multiple Inputs and Mixed Data

代码：

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# compile the model using mean absolute percentage error as our loss, # implying that we seek to minimize the absolute percentage difference # between our price *predictions* and the *actual prices* opt = Adam(lr=1e-3, decay=1e-3 / 200) model.compile(loss="mean_absolute_percentage_error", optimizer=opt) # train the model print("[INFO] training model...") model.fit(     x=[trainAttrX, trainImagesX], y=trainY,     validation_data=([testAttrX, testImagesX], testY),     epochs=200, batch_size=8) # make predictions on the testing data print("[INFO] predicting house prices...") preds = model.predict([testAttrX, testImagesX])