PyTorch is an open-source deep learning framework developed by Facebook’s AI Research lab (FAIR). It is widely used for building and training neural networks with dynamic computation graphs, which allow for greater flexibility and debugging ease compared to static frameworks. PyTorch supports GPU acceleration, automatic differentiation through its autograd system, and seamless integration with Python and scientific libraries like NumPy. It is popular in both academic research and industry for tasks such as computer vision, natural language processing, and reinforcement learning, and it provides high-level APIs for building complex models efficiently using modules like torch.nn and torch.optim.
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