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Answer Posted / Rajesh Kumar Saroj
TensorFlow and PyTorch are both open-source machine learning frameworks, but they have different approaches to building neural networks. TensorFlow uses a static computational graph for executing computations, making it more suitable for distributed computing environments. PyTorch uses an eager execution approach, which allows for dynamic computation graphs, making it easier for rapid prototyping and interactive development.
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