• DeepPPI

  • Referenced in 4 articles [sw30745]
  • recent machine learning advance-deep neural networks (DNNs). We aim at improving the performance ... propose a method called DeepPPI (Deep neural networks for Protein-Protein Interactions prediction), which employs...
  • NATTACK

  • Referenced in 1 article [sw32886]
  • understanding how to construct robust deep neural networks (DNNs) and for thoroughly testing defense techniques...
  • Rx-Caffe

  • Referenced in 1 article [sw25898]
  • Neural Networks on Resistive Crossbars. Deep Neural Networks (DNNs) are widely used to perform machine...
  • dMath

  • Referenced in 1 article [sw17846]
  • development of scalable applications like deep neural networks (DNNs). Persistent data stored in GPU memory...
  • PaRoT

  • Referenced in 1 article [sw31366]
  • Robust Deep NeuralNetwork Training. Deep Neural Networks (DNNs) are finding important applications in safety-critical...
  • DarkneTZ

  • Referenced in 1 article [sw32543]
  • limit the attack surface against Deep Neural Networks (DNNs). Increasingly, edge devices (smartphones and consumer...
  • GXNOR-Net

  • Referenced in 1 article [sw32923]
  • unified discretization framework. Although deep neural networks (DNNs) are being a revolutionary power to open...
  • NeST

  • Referenced in 1 article [sw31716]
  • grow-and-prune paradigm. Deep neural networks (DNNs) have begun to have a pervasive impact...
  • NNV

  • Referenced in 1 article [sw32539]
  • based verification framework for deep neural networks (DNNs) and learning-enabled cyber-physical systems ... robustness properties of feed-forward neural networks (FFNNs) with various activation functions. For learning-enabled ... closed-loop control systems incorporating neural networks, NNV provides exact and over-approximate reachability analysis ... functions, such as ReLUs. For similar neural network control systems (NNCS) that instead have nonlinear...
  • daBNN

  • Referenced in 1 article [sw31494]
  • arithmetic operations in float-valued Deep Neural Networks (DNNs) with bit-wise operations. Nevertheless, there...
  • DANN

  • Referenced in 1 article [sw31340]
  • CADD to train a deep neural network (DNN). DNNs can capture non-linear relationships among ... Device Architecture-compatible graphics processing units and deep learning techniques such as dropout and momentum...
  • Boda

  • Referenced in 0 articles [sw17847]
  • Learning Applications. In recent years, deep neural networks (DNNs), have yielded strong results...
  • CNTK

  • Referenced in 10 articles [sw21056]
  • cntk.ai), is a unified deep-learning toolkit that describes neural networks as a series ... graph, leaf nodes represent input values or network parameters, while other nodes represent matrix operations ... popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs...
  • SqueezeNet

  • Referenced in 8 articles [sw30749]
  • model size. Recent research on deep neural networks has focused primarily on improving accuracy ... offer at least three advantages: (1) Smaller DNNs require less communication across servers during distributed...
  • OpenSALICON

  • Referenced in 2 articles [sw25869]
  • with an architecture based on Deep Neural Network (DNN). It leverages the representational power ... high-level semantics encoded in DNNs pretrained for object recognition. Two key components are fine...
  • SinReQ

  • Referenced in 1 article [sw36242]
  • Deep Quantized Training. Deep quantization of neural networks (below eight bits) offers significant promise ... without special techniques for training and optimization, deep quantization results in significant accuracy loss ... novel sinusoidal regularization, called SinReQ1, for deep quantized training. SinReQ adds a periodic term ... ResNet-20, SVHN, and VGG-11 DNNs with three to five bits for quantization...
  • Matlab

  • Referenced in 12074 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • LMI toolbox

  • Referenced in 1419 articles [sw06383]
  • Linear Matrix Inequalities (LMIs) and LMI techniques have...
  • TensorFlow

  • Referenced in 284 articles [sw15170]
  • TensorFlow™ is an open source software library for...
  • CIFAR

  • Referenced in 71 articles [sw17861]
  • The CIFAR-10 and CIFAR-100 are labeled...