Pardon me if this is a poorly framed question. This happens to be my first question here.
Say I have an output layer in Keras, and I want to multiply the last value (result of sigmoid activation) with a scalar (say 5).
(I have attached a code snippet here. Assume all necessary libraries / dependencies included)
def create_model():
inp = Input(shape=(561,))
x = Dense(units=1024,input_dim=561)(inp)
x = LeakyReLU(0.2)(x)
x = Dropout(0.3)(x)
x = Dense(units=512)(x)
x = LeakyReLU(0.2)(x)
x = Dropout(0.3)(x)
x = Dense(units=256)(x)
x = LeakyReLU(0.2)(x)
x = Dense(units=1, activation='sigmoid')(x)
m = tf.convert_to_tensor(5) #creating a tensor of value = 5
o = Multiply()([x, m]) #trying to multiply x with o. Doesn't work though!
model = Model(inputs=[inp], outputs=[o])
model.compile(loss='binary_crossentropy', optimizer = Adam(lr=0.0002, beta_1=0.5))
return model
model = create_model()
model.summary()
I tried this, and I am getting "tuple index out of range" error. I would be glad if someone could help me (i.e in multiplication of last layer's output with a scalar)
Check the dimensions.The dimensions of x and m are not matching. Use Lambda layer instead of Multiply. This will definitely solve your problem.