• Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • simulate neural networks. You can use Neural Network Toolbox for applications such as data fitting ... handle large data sets, you can distribute computations and data across multicore processors, GPUs...
  • TensorFlow

  • Referenced in 653 articles [sw15170]
  • flexible architecture allows you to deploy computation to one or more CPUs or GPUs ... purposes of conducting machine learning and deep neural networks research, but the system is general...
  • Scatter Search

  • Referenced in 297 articles [sw05291]
  • optimal weight values in a multilayer neural network. Through experimentation, we show that our instantiation ... terms of training quality while keeping the computational effort at a reasonable level...
  • DGM

  • Referenced in 185 articles [sw39282]
  • High-dimensional PDEs have been a longstanding computational challenge. We propose to solve high-dimensional ... approximating the solution with a deep neural network which is trained to satisfy the differential...
  • DeepLab

  • Referenced in 39 articles [sw15303]
  • which feature responses are computed within Deep Convolutional Neural Networks. It also allows ... number of parameters or the amount of computation. Second, we propose atrous spatial pyramid pooling...
  • PDE-Net

  • Referenced in 91 articles [sw36963]
  • learning convolution kernels (filters), and apply neural networks or other machine learning methods to approximate ... networks in computer vision such as Network-In-Network (NIN) and Residual Neural Network (ResNet...
  • SOM

  • Referenced in 60 articles [sw07375]
  • magnificient computing environment, but the tools in its neural networks toolbox for SOM were ... employed in the Laboratory of Information and Computer Science in the Helsinki University of Technology...
  • numericaluniversality

  • Referenced in 13 articles [sw18977]
  • authors present evidence for universality in numerical computations with random data. Given a (possibly stochastic ... well as a model of neural computation and decision-making. A link to relevant software...
  • SciANN

  • Referenced in 16 articles [sw38344]
  • wrapper for scientific computations and physics-informed deep learning using artificial neural networks. In this ... package for scientific computing and physics-informed deep learning using artificial neural networks. SciANN uses ... designed to abstract neural network construction for scientific computations and solution and discovery of partial...
  • NEST

  • Referenced in 32 articles [sw26849]
  • neural simulation tool): The Neural Simulation Tool NEST is a computer program for simulating large ... dynamics, size, and structure of neural systems rather than on the detailed morphological and biophysical...
  • flexclust

  • Referenced in 28 articles [sw04583]
  • measures and centroid computation. Further cluster methods include hard competitive learning, neural...
  • GenSoFNN

  • Referenced in 9 articles [sw08761]
  • prior to training. The second group of neural fuzzy networks, on the other hand ... proper connections of these computed clusters. However, most existing neural fuzzy systems (whether they belong ... number of clusters to be computed. Hence, a novel neural fuzzy system that is immune...
  • Spikenet

  • Referenced in 12 articles [sw08892]
  • biological neural network models face the problem of scalability because of the limited computational power ... underlying computation and implementation of such a mechanism in SpikeNET, our neural network simulation package ... only biologically compliant, it is also computationally efficient as 400 000 synaptic weights...
  • ANODEs

  • Referenced in 8 articles [sw35084]
  • address these limitations, we introduce Augmented Neural ODEs which, in addition to being more expressive ... better and have a lower computational cost than Neural ODEs...
  • Brian

  • Referenced in 29 articles [sw23588]
  • Brian” is a new simulator for spiking neural networks, written in Python (http://brian. di.ens.fr ... also very well suited for teaching computational neuroscience...
  • STICK

  • Referenced in 2 articles [sw40455]
  • computational kernel, a framework for general purpose computation using neurons, precise timing, delays, and synchrony ... developing new platforms for spiking neural computation. Current neural computers are primarily developed to mimic ... biology. They use neural networks, which can be trained to perform specific tasks to mainly ... rethink our current paradigm of computation. The ultimate goal is to develop brain-inspired general...
  • ShuffleNet

  • Referenced in 16 articles [sw39585]
  • Efficient Convolutional Neural Network for Mobile Devices. We introduce an extremely computation-efficient CNN architecture...
  • GNMT

  • Referenced in 27 articles [sw26579]
  • between Human and Machine Translation. Neural Machine Translation (NMT) is an end-to-end learning ... Unfortunately, NMT systems are known to be computationally expensive both in training and in translation ... this work, we present GNMT, Google’s Neural Machine Translation system, which attempts to address ... employ low-precision arithmetic during inference computations. To improve handling of rare words, we divide...
  • DeepFool

  • Referenced in 21 articles [sw20937]
  • neural networks. State-of-the-art deep neural networks have achieved impressive results on many ... effective methods have been proposed to accurately compute the robustness of state ... outperforms recent methods in the task of computing adversarial perturbations and making classifiers more robust ... simple and accurate method to fool deep neural networks...
  • Flavia

  • Referenced in 15 articles [sw22234]
  • Probabilistic Neural Network). The purpose of this MATLAB program is to teach a computer ... digital camera or scanners), then the computer can tell you what kind of plant ... them. We utilize the PNN (Probabilistic Neural Network) to implement this AI process. 12 characters...