Description Usage Arguments Value Keras Backend

`batch_dot`

is used to compute dot product of `x`

and `y`

when `x`

and `y`

are data in batch, i.e. in a shape of `(batch_size)`

. `batch_dot`

results in
a tensor or variable with less dimensions than the input. If the number of
dimensions is reduced to 1, we use `expand_dims`

to make sure that ndim is
at least 2.

1 | ```
k_batch_dot(x, y, axes)
``` |

`x` |
Keras tensor or variable with 2 more more axes. |

`y` |
Keras tensor or variable with 2 or more axes |

`axes` |
List of (or single) integer with target dimensions (axis indexes
are 1-based). The lengths of |

A tensor with shape equal to the concatenation of `x`

's shape (less
the dimension that was summed over) and `y`

's shape (less the batch
dimension and the dimension that was summed over). If the final rank is 1,
we reshape it to `(batch_size, 1)`

.

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.