【716】Keras实现多输入

 

参考：Keras: Multiple Inputs and Mixed Data

代码：

# 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])