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What are the three working components of tensorflow architecture?
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Answer / Chandra Bhan Singh
The three working components of TensorFlow architecture are: (1) Core TensorFlow library, responsible for defining and optimizing computational graphs; (2) CUDA-enabled libraries for efficient GPU computing (e.g., cuDNN); and (3) Distribution and synchronization libraries for parallel processing across multiple GPUs or machines.
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