Answer Posted / Somdutta Singh

Eager execution is a mode of operation in TensorFlow where operations are executed immediately after being defined, as opposed to graph-based execution. In eager execution, the result of each operation is computed and returned immediately, allowing for interactive debugging and easier learning curves for beginners. However, it can be less efficient for large-scale machine learning tasks because it doesn't allow for symbolic computation and optimization across multiple operations.

What are the apis outside tensorflow project?

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