In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation...

of 3.4 months. Tensor Processing Units (TPUs) are specialised hardware accelerators developed by Google specifically for machine learning workloads. Unlike...

Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning...

TensorFlow is a software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for training...

2024-06-13. "On Tensors, Tensorflow, And Nvidia's Latest 'Tensor Cores'". tomshardware.com. 2017-04-11. Retrieved 2020-04-08. "Tensor Core DL Performance...

train an mlp Module on input Tensor x, target Tensor y with a scalar learningRate: function gradUpdate(mlp, x, y, learningRate) local criterion = nn.ClassNLLCriterion()...

of Tensors. Note that the term "tensor" here does not carry the same meaning as tensor in mathematics or physics. The meaning of the word in machine learning...

§ Tensor Symmetric tensor, a tensor that is invariant under a permutation of its vector arguments Tensor (machine learning), the application of tensors...

framework). Alexander Rush (January 2019). "Tensor Considered Harmful". Harvard NLP. See Tensor (machine learning). Irit Katriel (November 2024). "Return...

In deep learning, transformer is an architecture based on the multi-head attention mechanism, in which text is converted to numerical representations called...

Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)...

Tensor networks or tensor network states are a class of variational wave functions used in the study of many-body quantum systems and fluids. Tensor networks...

learning processor, is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence (AI) and machine...

(electromagnetic tensor, Maxwell tensor, permittivity, magnetic susceptibility, ...), and general relativity (stress–energy tensor, curvature tensor, ...). In...

Quantum machine learning (QML) is the study of quantum algorithms which solve machine learning tasks. The most common use of the term refers to quantum...

distributed training framework for TensorFlow, Keras and PyTorch, improves speed, scale and resource allocation in machine learning training activities. Uber uses...

Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. A survey from May 2020...

Machine Learning research at NVIDIA and a principal scientist at Amazon Web Services. Her research considers tensor-algebraic methods, deep learning and...

UTF-8 string, formatted as {"TENSOR_NAME": {“dtype”: “F16”, “shape”: [1, 16, 256], “data_offsets”: [BEGIN, END]}, "NEXT_TENSOR_NAME": {…}, …}. file: a byte...

contrast to some other machine learning frameworks which are implemented in other languages with Julia bindings, such as TensorFlow.jl (the unofficial...

combined open-ended machine learning research with information systems and large-scale computing resources. It created tools such as TensorFlow, which allow...

In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable...

unit Tensor processing unit Vision processing unit Comparison of deep learning software Amazon Machine Learning Microsoft Azure Machine Learning Studio...

In statistics, machine learning and algorithms, a tensor sketch is a type of dimensionality reduction that is particularly efficient when applied to vectors...

In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation...

Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled...

of a high-dimensional tensor to a low-dimensional tensor of the same order, using N projection matrices for an Nth-order tensor. It can be performed in...

similar to MATLAB and GNU Octave, but designed specifically for tensors. Tensor is a tensor package written for the Mathematica system. It provides many...

machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning...

neural network Support vector machine Spiking neural network Stochastic parrot Tensor product network Topological deep learning Hardesty L (14 April 2017)...