If you actually need a deep learning model, PyTorch and TensorFlow are both good choices ...

If you’re looking to explore deep learning in general using PyTorch, I recommending having a look at the fast.ai course. It will take you through the theory of deep learning and its applications ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Facebook parent company Meta Platforms Inc. announced today that it’s handing over control of the popular PyTorch artificial intelligence platform it created to the Linux Foundation’s newly ...

In this video from CSCS-ICS-DADSi Summer School, Atilim Güneş Baydin presents: Deep Learning and Automatic Differentiation from Theano to PyTorch. Inquisitive minds want to know what causes the ...

Facebook AI Research today introduced PyTorch 3D, a library for deep learning with 3D objects, and open-sourced Mesh R-CNN to turn 2D into 3D.

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...