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Answer Posted / Dhiraj Parath
TensorFlow abstractions refer to high-level building blocks provided by TensorFlow that simplify the process of creating machine learning models. These include Keras, Eager Execution, and the TensorFlow Dataset API. Keras provides an easy-to-use interface for creating deep neural networks, while Eager Execution enables running operations immediately instead of building a computational graph. The TensorFlow Dataset API simplifies data input pipelines.
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