Convolutional neural network is an important model in deep learning, where a convolution operation can be represented by a tensor. To avoid exploding/vanishing gradient problems and to improve the generalizability of a neural network, it is desirable to have a convolution operation that nearly ...
[5]COVID-19 Serology Dataset Analysis with CP — TensorLy: Tensor Learning in Python [6]Wu, Bijiao, et al. "Hybrid tensor decomposition in neural network compression."Neural Networks132 (2020): 309-320. [7] Cupjin Huang, Fang Zhang, Michael Newman, Junjie Cai, Xun Gao, Zhengxiong Tian...
In an attempt to make Human-Computer Interactions more natural, we propose the use of Tensor Factorized Neural Networks (TFNN) and Attention Gated Tensor Factorized Neural Network (AG-TFNN) for Speech Emotion Recognition (SER) task. Standard speech representations such as 2D and 3D Mel-Spectrogram...
自然张量网络（Natural Tensor Network, NTN）：NTN是一种用于表示量子态和量子操作的张量网络，它通过自...
PyTorch is not a Python binding into a monolithic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would useNumPy/SciPy/scikit-learnetc. You can write your new neural network layers in Python itself, using your favorite libraries and use pack...
You can write your new neural network layers in Python itself, using your favorite libraries and use packages such as Cython and Numba. Our goal is to not reinvent the wheel where appropriate. Imperative Experiences PyTorch is designed to be intuitive, linear in thought, and easy to use. ...
As its width tends to infinity, a deep neural network’s behavior under gradient descent can become simplified and predictable (e.g. given by the Neural Tangent Kernel (NTK)), if it is parametrized appropriately (e.g. the NTK parametrization). However, we show that the standard and NTK ...
Neural network models have quickly taken advantage of NVIDIA Tensor Cores for deep learning since their introduction in the Tesla V100 GPU last year.
In Bittensor there is one blockchain, and many platforms that are connected to this one blockchain. We call these platforms assubnets, and this one blockchainsubtensor. So, a subnet can be AI-related or it can be something else. The Bittensor network has a number of distinct subnets. Al...
(TR) have been applied to compress DNNs and shown considerable compression effectiveness. In this work, we introduce the hierarchical Tucker (HT), a classical but rarely-used tensor decomposition method, to investigate its capability in neural network compression. We convert the weight matrices and ...