CategoricalCrossentropy
=======================

Computes the crossentropy loss between the labels and predictions.

**Abstract Signature:**

``CategoricalCrossentropy(from_logits: bool = False, label_smoothing: float = 0.0, axis: int = -1, reduction: str = sum_over_batch_size)``

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        <div id="PyTorch_0" class="op-tab-pane active"><h4>PyTorch</h4><div class="op-detail-row"><span class="label">API:</span> <code>torch.nn.CrossEntropyLoss</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://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Keras_1" class="op-tab-pane "><h4>Keras</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.losses.CategoricalCrossentropy</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.losses.CategoricalCrossentropy" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="TensorFlow_2" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>tf.keras.losses.CategoricalCrossentropy</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/tf/keras/losses/CategoricalCrossentropy" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Apple MLX_3" class="op-tab-pane "><h4>Apple MLX</h4><div class="op-detail-row"><span class="label">API:</span> <code>mlx.nn.losses.CrossEntropy</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://ml-explore.github.io/mlx/build/html/python/_autosummary/mlx.nn.losses.CrossEntropy.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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