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What are the differences between tensorflow and pytorch?
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Answer / Atul Ojha
1. API Differences: TensorFlow uses a static graph for computation, while PyTorch uses an eager execution approach.
2. Learning Curve: PyTorch has a gentler learning curve due to its Pythonic syntax.
3. Community and Ecosystem: TensorFlow has a larger community and more resources, but PyTorch is growing rapidly.
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