mputes or approximates the KL divergence. The
distributions are <code>tfd$Distribution</code>-like instances and the sample is a <code>Tensor</code>.</p></td>
    </tr>
    <tr>
      <th>seed</th>
      <td><p>scalar <code>integer</code> which initializes the random number generator.
Default value: <code>NULL</code> (i.e., use global seed).</p></td>
    </tr>
    <tr>
      <th>...</th>
      <td><p>Additional keyword arguments passed to the <code><a href='https://rdrr.io/pkg/keras/man/layer_dense.html'>ke