Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, ...
Neural NetworksHubei University of TechnologyBy a News Reporter-Staff News Editor at Network Daily News - Fresh data onNetworks are presented in a new report. According to news reporting out of Wuhan, People's Republic ofChina, by NewsRx editors, research stated, "The rapid expansion of smart...
The Tensor Factorized Neural Network (TFNN) is applied to the task of Speech Emotion Recognition (SER). Two datasets are chosen to demonstrate the effectiveness of the Tensor Factorization based architectures in capturing the emotion salient information in the speech utterances. The Datasets are chosen...
The proper implementation of tensor-based deep neural networks can be tricky. Major neural networks libraries such as PyTorch or TensorFlow do not provide layers based on tensor algebraic methods and have limited support for sparse tensors. In NVIDIA, we lead the development of a series of tools...
The complex spatiotemporal dynamics of neurons encompass a wealth of information relevant to perception and decision-making, making the decoding of neural activity a central focus in neuroscience research. Traditional machine learning or deep learning-based neural information modeling approaches have achieved...
DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. J Supercomput 77, 1015–1037 (2021). https://doi.org/10.1007/s11227-020-03294-y Download citation Published05 May 2020 Issue DateFebruary 2021 DOIhttps://doi.org/10.1007/s11227-020-03294-y Keywords ...
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Welcome back to this series on neural network programming. In this post, we will look at a practical example that demonstrates the use of the tensor concepts rank, axes, and shape. To do this, we'll consider a tensor input to a convolutional neural network. Without further ado, let's ...
using a compiler based on the substrait code using an already built docker image (docker runner)Using docker runner (default for now):E2E tests with docker image do not require preliminary compilation are executed very quickly require docker installed in OS...
and wherein the tensor layer receives respective output data from each subspace in the plurality of subspaces and generates an output vector for provision to a second immediately adjacent layer in the deep tensor neural network, the output vector being based at least in part upon the respective ...