Because isomorphic tensors present differently, discovering that they're secretly the same can actually be quite difficult. Grochow's project will allow him to move back and forth between creating new ...

It is useful to understand Tensors, Tensorflow, and TPU (Tensor processing units). Tensors are simply mathematical objects that can be used to describe physical properties, just like scalars and ...

Tensors, or multiindexed arrays, generalize matrices (two dimensional) to three dimensions and beyond. Due to the great ability of tensors to model higher-order data and nonlinear functions, tensor ...

Understand what tensors are and how they are the fundamental building blocks of data in deep learning frameworks.

We always enjoy [FloatHeadPhysics] explaining any math or physics topic. We don’t know if he’s acting or not, but he seems genuinely excited about every topic he covers, and it is ...

A research team reported the direct measurement of dielectric tensors of anisotropic structures including the spatial variations of principal refractive indices and directors. The group also ...

Such tensors are very small in size, so when handling actual data sets, the cores would crunch through little blocks of larger matrices, building up the final answer. Less than a year later ...

The __init__() method loads data into memory from file using the NumPy loadtxt() function and then converts the data to PyTorch tensors. Instead of using loadtxt(), two other common approaches are to ...