Sorties Keras Model 2
inputs = Input(shape=(3,))
x = Dense(16, activation='relu')(inputs)
x = Dense(32, activation='relu')(x)
output1 = Dense(1)(x)
output2 = Dense(3, activation='softmax')(x)
model = Model(inputs=inputs, outputs=[output1, output2])
model.compile(loss=['mae', 'sparse_categorical_crossentropy'], optimizer='adam')
history = model.fit(X, [Y, Z], epochs=10, batch_size=8)
Georgiy Kantsedal