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Deep Learning Frameworks are software platforms that make it easier to build and train deep learning models, which are artificial neural networks with multiple layers. These frameworks provide pre-built functions and tools for tasks such as designing network architectures, optimizing model parameters, and handling large datasets. They enable data scientists and researchers to focus on the specific problem they're trying to solve, rather than building everything from scratch. Deep Learning Frameworks are a crucial component of Predictive Analytics in the field of Artificial Intelligence Algorithms, which itself is a subset of Artificial Intelligence, a broader category under Technology. They help to accelerate the development and deployment of deep learning models, making them more accessible to a wider range of users and use cases.