Get multiple output from Keras I have a regression problem which I have to predict 3 numerical values from a provided data. For example let's say I have a data set containing X1,X2,X3,X4,X5,X6...X100,Y1,Y2,Y3 columns. In this case I have to predict Y1,Y2,Y3 values. Is there are any way to construct the model to get all the outputs at the same time using Keras.
it's quite easy to make! One thing to note I'm using the Keras functional API.

from keras.layers import Input, Dense

Input_1= Input(shape=(shape, ))

x = Dense(100, activation='relu')(Input_1)
x = Dense(100, activation='relu')(x)
x = Dense(100, activation='relu')(x)

out1 = Dense(1,  activation='linear')(x)
out2 = Dense(1,  activation='linear')(x)
out3 = Dense(1,  activation='linear')(x)


model = Model(inputs=Input_1, outputs=[out1,out2,out3])
model.compile(optimizer = "rmsprop", loss = 'mse')