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It seems like you are looking for information about PyTorch. PyTorch is an open-source deep learning framework developed by Facebook’s AI Research lab (FAIR). It is widely used in both academia and industry for deep learning and artificial intelligence research and production.

One of the key features of PyTorch is its dynamic computational graph, which allows for changes to the network architecture during runtime. This flexibility is beneficial for researchers and developers who need to experiment with different model architectures. Additionally, PyTorch provides a comprehensive library for tensor operations, similar to NumPy, but with GPU acceleration, making it efficient for large-scale computations.

PyTorch also includes modules for constructing various deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. Its automatic differentiation library, Autograd, simplifies the computation of gradients, which is essential for training neural networks. The framework has a rich ecosystem with numerous libraries and tools, such as TorchVision for computer vision and TorchText for natural language processing, enhancing its usability and functionality ³.

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PyTorch is an open-source deep learning framework developed by Facebook’s AI Research lab (FAIR). It provides a flexible ecosystem for deep learning and artificial intelligence research and production...

Introduction to PyTorch - YouTube Series

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Introduction to PyTorch - YouTube Series Authors: Brad Heintz This tutorial follows along with the PyTorch Beginner Series on youtube. This tutorial assumes a basic familiarity with Python and Deep Le...

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