How to give beta and gamma in tf.contrib.layers.batch_norm
<p>I'm trying to use normalization layer given by tensorflow. In that <a href="https://www.tensorflow.org/versions/r0.10/api_docs/python/contrib.layers.html#batch_norm" rel="nofollow noreferrer">function</a>, there is a field to specify whether we are using beta or gamma values.</p>
<blockquote>
<p><strong>center:</strong> If True, subtract <code>beta</code>. If False, <code>beta</code> is ignored.</p>
<p><strong>scale:</strong> If True, multiply by <code>gamma</code>. If False, <code>gamma</code> is not used. When the next layer is linear (also e.g. <code>nn.relu</code>), this can be disabled since the scaling can be done by the next layer.</p>
</blockquote>
<p>But there is nowhere to input <code>beta</code> and <code>gamma</code> values into the function.</p>
<p>I need to know how can I input values for <code>beta</code> and <code>gamma</code>..?</p>