TensorFlow 面试题与答案
Question: Explain the difference between eager execution and graph execution in TensorFlow.Answer: Eager execution evaluates operations immediately, while graph execution involves building a computational graph to be executed later. Eager execution is the default mode in TensorFlow 2.x.Example: No explicit session or graph code is required in TensorFlow 2.x |
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