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Explain the features of eager execution?
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Answer / Saurabh Gangwar
Eager Execution is a feature in TensorFlow that evaluates all operations immediately as they are encountered during graph construction. This allows for better debugging and faster iteration, but it can also be less efficient at runtime because it computes intermediate results unnecessarily. In contrast, Graph Execution (lazy evaluation) only computes an operation when its output is needed.
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