Answer Posted / Ram Prakash
TensorFlow Abstractions refer to higher-level building blocks in TensorFlow that encapsulate common machine learning tasks, such as Estimators, Datasets, and Keras. These abstractions make it easier for developers to build complex models by providing pre-built components.
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