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Do you like the NumPy API? Do you wish you were able to write Keras models using the NumPy math syntax? You can! Find out how with this new tutorial on http://keras.io :https://keras.io/examples/keras_recipes/tensorflow_numpy_models/ …
You can learn more about the TensorFlow implementation of the NumPy API here: https://www.tensorflow.org/guide/tf_numpy It enables you to use TensorFlow as a distributable, GPU-accelerated NumPy. Fully compatible with Keras workflows.
The one major difference with NumPy is that arrays aren't assignable -- you'll still have to use tf.Variable for storing mutable state.
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