Training the Neural Network The details of training a neural network with PyTorch are complicated but the code is relatively simple. In very high-level pseudo-code, the process to train a neural ...

Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the past two years, reflecting rapid advancements in machine learning with ...

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 ...

Artificial intelligence development startup Lightning AI Inc. today announced the general availability of PyTorch Lightning 2.0, an open-source AI framework that’s used by thousands of organizations ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

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 ...

The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once PyTorch, the Python framework for quick-and-easy ...