Share weights between two dense layers in keras

Question

I have a code as follows. What I want to do is to share the same weights in two dense layers.

The equation for op1 and op2 layer will be like that

op1 = w1

Answer 1

This uses the same layer for both sides. (Weighs and bias are shared)

ip_shape1 = Input(shape=(5,))
ip_shape2 = Input(shape=(5,))

dense = Dense(1, activation = "sigmoid", kernel_initializer = "ones")

op1 = dense(ip_shape1)
op2 = dense(ip_shape2)

merge_layer = Concatenate()([op1, op2])
predictions = Dense(1, activation='sigmoid')(merge_layer)

model = Model(inputs=[ip_shape1, ip_shape2], outputs=predictions)