Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader objects, used to serve up training or test data in ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Learn how Intersection over Union (IoU) works and how to implement it step-by-step using PyTorch. This guide covers everything from the basic concept to practical coding examples for object detection ...

A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...

PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI ...

PyTorch is an open-source machine learning framework that is used for the creation and training of deep learning models. These can then be applied in a variety of use cases, mostly concerned with the ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.