What frameworks are commonly used in deep learning?

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Answer

Common frameworks used in deep learning include TensorFlow, PyTorch, and Keras. TensorFlow, developed by Google, is known for its scalability and flexibility, making it suitable for both research and production. PyTorch, favored for its dynamic computation graph and ease of use, is popular in academic research and prototyping. Keras, often used as an interface for TensorFlow, simplifies building and training models with its user-friendly API. These frameworks provide essential tools for developing, training, and deploying deep learning models efficiently.

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