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Deep Learning Frameworks refer to specialized software libraries designed for developing and implementing deep learning models, which are machine learning algorithms structured in layers. These frameworks offer pre-built components that streamline tasks such as creating neural networks, training them with large datasets, and deploying them in various applications. They abstract the complex mathematical underpinnings of these models, enabling developers to build sophisticated deep learning systems even without extensive expertise in the field. Deep Learning Frameworks are essential for advancing artificial intelligence (AI) research and real-world AI applications across numerous industries, including electronics, computer hardware, cloud computing, software development, and more. By providing accessible tools for building complex machine learning models, these frameworks empower developers to create innovative solutions that can learn from data and make intelligent predictions or decisions.