tf.keras.layers.Dot

Layer that computes a dot product between samples in two tensors.

Inherits From: Layer, Module

Used in the notebooks

Used in the tutorials

E.g. if applied to a list of two tensors a and b of shape (batch_size, n), the output will be a tensor of shape (batch_size, 1) where each entry i will be the dot product between a[i] and b[i].

x = np.arange(10).reshape(1, 5, 2)
print(x)
[[[0 1]
  [2 3]
  [4 5]
  [6 7]
  [8 9]]]
y = np.arange(10, 20).reshape(1, 2, 5)
print(y)
[[[10 11 12 13 14]
  [15 16 17 18 19]]]
tf.keras.layers.Dot(axes=(1, 2))([x, y])
<tf.Tensor: shape=(1, 2, 2), dtype=int64, numpy=
array([[[260, 360],
        [320, 445]]])>
x1 = tf.keras.layers.Dense(8)(np.arange(10).reshap