tf.keras.layers.Dot

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.Dot, `tf.compat.v2.keras.layers.Dot`

tf.keras.layers.Dot(
    axes, normalize=False, **kwargs
)

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].

Arguments
axes	Integer or tuple of integers, axis or axes along which to take the dot product.
normalize	Whether to L2-normalize samples along the dot product axis before taking the dot product. If set to True, then the output of the dot product is the cosine proximity between the two samples.
**kwargs	Standard layer keyword arguments.