Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

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, ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

At last week's Spark AI Summit Europe, we had the chance to discuss with some of the rock stars of this community. MLFlow's new version was presented in Databricks Chief Technologist Matei Zaharia's ...

Tensors play a pivotal role in AI and deep learning systems, and share a common heritage with both physics and advanced mathematics. All of which makes it extremely difficult to lock down a definitive ...

Alphabet's Google is launching an initiative named 'TorchTPU' to improve the compatibility of its Tensor Processing Units with the widely used PyTorch software framework, challenging Nvidia's ...

PyTorch is a Python language code library that can be used to create deep neural networks. The fundamental object in PyTorch is called a tensor. A tensor is essentially an n-dimensional array that can ...

Dec 17 (Reuters) – Alphabet’s Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the world’s most widely used AI software framework, in a move ...