Deep learning frameworks are software libraries and tools that provide a high-level interface for designing, training, and deploying deep learning models. They offer pre-built components like layers, activation functions, and optimization algorithms, simplifying the development process. Common uses include image recognition, natural language processing, and time series analysis.
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