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What frameworks are commonly used in deep learning?

The question is about deep learning

Answer

Common frameworks used in deep learning include TensorFlow, PyTorch, and Keras. TensorFlow, developed by Google, is known for its flexibility and scalability, making it suitable for both research and production. PyTorch, favored for its dynamic computation graph, is popular in academic circles for research purposes. Keras, built on top of TensorFlow, offers a user-friendly interface for building and training models. These frameworks provide essential tools and libraries for developing deep learning applications efficiently.

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