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typo (#624)

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Guillaume Baquiast 2023-07-27 16:58:08 +01:00 committed by Francois Chollet
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guides/making_new_layers_and_models_via_subclassing.py
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@ -232,7 +232,7 @@ All layers you've seen so far in this guide work with all Keras backends.
The `keras.ops` namespace gives you access to:
- The NumPy API, e.g. `ops.matmul`, `ops.sum`, `ops.reshape`, `ops.stack`, etc.
- Neural networks-specific APIs such as `ops.softmax`, `ops`.conv`, `ops.binary_crossentropy`, `ops.relu`, etc.
- Neural networks-specific APIs such as `ops.softmax`, `ops.conv`, `ops.binary_crossentropy`, `ops.relu`, etc.
You can also use backend-native APIs in your layers (such as `tf.nn` functions),
but if you do this, then your layer will only be usable with the backend in question.