BatchNormalization
==================

Carries out batch normalization as described in the paper https://arxiv.org/abs/1502.03167. Depending on the mode it is being run, There are five required inputs 'X', 'scale', 'B', 'input_mean' and 'input_var'. Note that 'input_mean' and 'input_var' are expected to be the estimated statistics in inf...

**Abstract Signature:**

``BatchNormalization(X: Tensor, scale, B, input_mean, input_var, epsilon: float, momentum: float, training_mode: int)``

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        <div id="Keras_0" class="op-tab-pane active"><h4>Keras</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.layers.BatchNormalization</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://keras.io/search.html?q=keras.layers.BatchNormalization" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="TensorFlow_1" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.layers.BatchNormalization</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://www.tensorflow.org/api_docs/python/keras/layers/BatchNormalization" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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