While Keras started as a standalone library with support for multiple backends (TensorFlow, Theano, CNTK), it is now tightly integrated with TensorFlow. This integration enables the full suite of TensorFlow’s power (like eager execution, distributed training, and TensorFlow Extended), while keeping Keras’s user-friendly API. When using Keras with TensorFlow, developers can access TensorFlow-specific features and optimizations.
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