PyTorch is a deep learning library built on top of the Torch library.
It provides a powerful and flexible set of tools for building and training neural networks, with a focus on ease of use and flexibility. It is one of the most popular AI frameworks.
PyTorch is an open-source machine learning library for Python, based on the Torch library. It was developed by Facebook's AI Research group led by Soumith Chintala. and was released in January 2017. PyTorch provides a wide range of tools for deep learning, including support for advanced neural network architectures such as convolutional and recurrent neural networks.
It also includes support for GPU acceleration, making it a popular choice for training large, complex models. Some popular models that have been created using PyTorch include ResNet, DenseNet, and Generative Adversarial Networks (GANs). PyTorch has also been used to develop natural language processing (NLP) models such as BERT and GPT-2.
PyTorch includes a variety of pre-built modules for common tasks such as image classification and natural language processing, as well as the ability to define and train custom models. It also includes support for dynamic computation graphs, which allows
for more efficient and flexible model design.
Additionally, PyTorch has a large and active community that contributes to the development and maintenance of the library, making it a popular choice for deep learning research and development.
This Article was written by Abednego Emonena from the HURU School AI Class
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