The process of creating a PyTorch neural network for regression consists of six steps: Prepare the training and test data Implement a Dataset object to serve up the data in batches Design and ...

Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...

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 ...

Researchers have discovered a critical flaw in PyTorch’s distributed RPC system, allowing attackers to execute arbitrary commands on the OS and steal AI training data. Popular machine learning ...

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 ...

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 ...

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 ...

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 ...