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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After months in preview, PyTorch 2.0 has been made generally available by ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

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 ...

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 ...

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 ...