How Keras add two layers?
How Keras add two layers? tf.keras.layers.add() method can add two layer?
What it do is sum the values of corresponding positions in two layers.
For example:
input_shape = (1,2,3) import tensorflow as tf tf.enable_eager_execution() print("----------x1 tensor-----------") x1 = tf.random.uniform(input_shape, maxval=10, dtype=tf.dtypes.int32) tf.print(x1); print("----------x2 tensor-----------") x2 = tf.random.uniform(input_shape, maxval=10, dtype=tf.dtypes.int32) tf.print(x2); print("----------add 2 tensors-----------") y = tf.keras.layers.add([x1,x2]) tf.print(y); Output: ———-x1 tensor———– [[[7 6 1] [5 7 2]]] ———-x2 tensor———– [[[0 7 8] [2 9 6]]] ———-add 2 tensors———– [[[7 13 9] [7 16 8]]]
