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Answer Posted / Sanjay Singh Chauhan
Eager Execution in TensorFlow refers to a mode where computations are executed immediately as the program runs, instead of being stored in a graph and only evaluated when their outputs are required. This feature enables faster iteration during development but can be less efficient at runtime due to unnecessary computation of intermediate results.
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