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Тензор
В связи с принятым Минсредмашем решением о разработке и изготовлении ядерных мембран и фильтров на их основе на промплощадке Объединенного института ядерных исследований и завода «Тензор» создаются мощности по ...
Tenzor.netDA: 10 PA: 10 MOZ Rank: 11
Home | Tensors.net
Tensor networks are useful constructs for efficiently representing and manipulating correlated data. They work by decomposing high-dimensional data (expressed as a many index tensor) as a product of few index tensors, each of which contains only a relatively small number of parameters. Originally developed in the context of quantum many-body ...
Tensors.netDA: 15 PA: 15 MOZ Rank: 17
Новини України | Цензор.НЕТ - останні новини дня | Свіжі …
Цензор.НЕТ – останні новини дня в Україні та світі. Найсвіжіші новини зібрані на сайті censor.net
Censor.netDA: 10 PA: 10 MOZ Rank: 13
О Компании - tenzor.net
Московская обл., г. Дубна, ул. Приборостроителей, д. 2 Создание сайта —
Tenzor.netDA: 10 PA: 7 MOZ Rank: 20
Услуги - tenzor.net
Московская обл., г. Дубна, ул. Приборостроителей, д. 2 Создание сайта —
Tenzor.netDA: 14 PA: 10 MOZ Rank: 28
Tutorials | Tensors.net
Please contact us as at "[email protected]" for bug reports or suggestions for improvements. Terminology: Within these tutorials we use the following conventions: The order of a tensor is defined as the number of indices it has, i.e. A is an order-5 tensor. The rank (or decomposition rank) of a tensor w.r.t. some partition of the indices (for tensors with order > 2) specifies the …
Tensors.netDA: 15 PA: 10 MOZ Rank: 30
AsakusaRinne/Tensor.NET.Examples - GitHub
Tensor.NET.Examples. This is a repository for examples of Tensor.NET and will be updated continuously. Welcome to contribute to this repository! Examples. Logistic Regression of …
Github.comDA: 10 PA: 33 MOZ Rank: 49
Руководство - tenzor.net
Руководство. В апреле 1995 года избран членом совета директоров ОАО «Приборный завод «ТЕНЗОР». С апреля 1998 по май 2010 года председатель совета директоров ОАО «Приборный завод «ТЕНЗОР», с мая ...
Tenzor.netDA: 10 PA: 18 MOZ Rank: 35
Introducing Tensor for multi-dimensional Machine Learning and …
Tensor is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor<T> is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place. Tensor<T> is designed to provide the ...
Devblogs.microsoft.comDA: 22 PA: 50 MOZ Rank: 42
Tenzor.net: Тензор
Tenzor.net is tracked by us since July, 2022. Over the time it has been ranked as high as 6 737 999 in the world. It was hosted by JSC "RU-CENTER". Tenzor has the lowest Google pagerank and bad results in terms of Yandex topical citation index. We found that Tenzor.net is poorly ‘socialized’ in respect to any social network. According to MyWot and Google safe browsing …
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Tutorial 1: Tensor Contractions | Tensors.net
Tensors .net. Tutorial 1: Tensor Contractions. Please look at the tutorials readme page if you have not done so already. In this tutorial you will learn the basics of manipulating tensors and contracting tensor networks efficiently, including: Initialization of tensors. Diagrammatic notation for tensors and tensor networks.
Tensors.netDA: 15 PA: 11 MOZ Rank: 36
Chapter 1. Tensor — TensorFlow.NET 0.6.0 documentation - Read …
There are many ways to initialize a Tensor object in TF.NET. It can be initialized from a scalar, string, matrix or tensor. But the best way to create a Tensor is using high level APIs like tf.constant, tf.zeros and tf.ones. We’ll talk about constant more in next chapter. // Create a tensor holds a scalar value var t1 = new Tensor (3 ...
Tensorflownet.readthedocs.ioDA: 28 PA: 22 MOZ Rank: 61
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