
AlexNet
 Referenced in 398 articles
[sw38522]
 AlexNet is a convolutional neural network that is 8 layers deep. You can load ... networks in MATLAB®, see Pretrained Deep Neural Networks...

TensorFlow
 Referenced in 498 articles
[sw15170]
 conducting machine learning and deep neural networks research, but the system is general enough...

Scatter Search
 Referenced in 292 articles
[sw05291]
 application to the problem of training neural networks. Scatter search is an evolutionary method that ... optimal weight values in a multilayer neural network. Through experimentation, we show that our instantiation...

darch
 Referenced in 281 articles
[sw11086]
 This package is for generating neural networks with many layers (deep architectures) and train them ... Reducing the dimensionality of data with neural networks” (G. E. Hinton, R. R. Salakhutdinov). This...

Neural Network Toolbox
 Referenced in 175 articles
[sw07378]
 Neural Network Toolbox. Neural Network Toolbox™ provides functions and apps for modeling complex nonlinear systems ... modeled with a closedform equation. Neural Network Toolbox supports supervised learning with feedforward, radial ... basis, and dynamic networks. It also supports unsupervised learning with selforganizing maps and competitive ... design, train, visualize, and simulate neural networks. You can use Neural Network Toolbox for applications...

PyTorch
 Referenced in 299 articles
[sw20939]
 PyTorch python package: Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch...

ANFIS
 Referenced in 274 articles
[sw08730]
 system implemented in the framework of adaptive networks. By using a hybrid learning procedure ... yielding remarkable results. Comparisons with artificial neural networks and earlier work on fuzzy modeling...

DGM
 Referenced in 89 articles
[sw39282]
 approximating the solution with a deep neural network which is trained to satisfy the differential ... Instead of forming a mesh, the neural network is trained on batches of randomly sampled ... with the solution approximated by a neural network instead of a linear combination of basis ... theorem regarding the approximation power of neural networks for a class of quasilinear parabolic PDEs...

Keras
 Referenced in 153 articles
[sw15491]
 Keras is a minimalist, highly modular neural networks library, written in Python and capable...

CALMA
 Referenced in 105 articles
[sw03235]
 link frequency assignment problem occurs when a network of radio links has to be established ... local search methods, genetic algorithms, neural networks, and potential reduction. These algorithms were tested...

DistAl
 Referenced in 101 articles
[sw01746]
 distancebased constructive learning algorithm Multilayer networks of threshold logic units offer an attractive ... pattern classification systems. A new constructive neural network learning algorithm (DistAl) based on interpattern...

PDENet
 Referenced in 47 articles
[sw36963]
 Inspired by the latest development of neural network designs in deep learning, we propose ... feedforward deep network, called PDENet, to fulfill two objectives at the same time ... learning convolution kernels (filters), and apply neural networks or other machine learning methods to approximate ... NetworkInNetwork (NIN) and Residual Neural Network (ResNet). Numerical experiments show that...

SSVM
 Referenced in 63 articles
[sw12678]
 Musicant, IEEE Trans. Neural Networks 10, 10321037 (1999)] and SMO [J. Platt, in: Advances...

SOM
 Referenced in 60 articles
[sw07375]
 environment, but the tools in its neural networks toolbox for SOM were not really...

NeuralPDE.jl
 Referenced in 29 articles
[sw39548]
 solver package which consists of neural network solvers for partial differential equations using scientific machine ... SciML) techniques such as physicsinformed neural networks (PINNs) and deep BSDE solvers. This package ... utilizes deep neural networks and neural stochastic differential equations to solve highdimensional PDEs...

DeepXDE
 Referenced in 30 articles
[sw32456]
 present an overview of physicsinformed neural networks (PINNs), which embed a PDE into ... loss of the neural network using automatic differentiation. The PINN algorithm is simple...

Brian
 Referenced in 27 articles
[sw23588]
 Brian: a simulator for spiking neural networks in python. ”Brian” is a new simulator ... spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and highly...

FPINNs
 Referenced in 21 articles
[sw40570]
 fPINNs: Fractional PhysicsInformed Neural Networks. Physicsinformed neural networks (PINNs) are effective in solving ... noisy data. PINNs employ standard feedforward neural networks (NNs) with the PDEs explicitly encoded into...

PointNet
 Referenced in 33 articles
[sw31209]
 design a novel type of neural network that directly consumes point clouds and well respects...

BinaryConnect
 Referenced in 20 articles
[sw35871]
 BinaryConnect: Training Deep Neural Networks with binary weights during propagations. Deep Neural Networks (DNN) have ... components of the digital implementation of neural networks. We introduce BinaryConnect, a method which consists...