• darch

  • Referenced in 265 articles [sw11086]
  • tuning with common known training algorithms like backpropagation or conjugate gradient...
  • torchdiffeq

  • Referenced in 24 articles [sw35082]
  • differential equation (ODE) solvers implemented in PyTorch. Backpropagation through all solvers is supported using...
  • Autograd

  • Referenced in 20 articles [sw22077]
  • derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients...
  • HyFIS

  • Referenced in 12 articles [sw24184]
  • data; and rule tuning phase using error backpropagation learning scheme for a neural fuzzy system...
  • CNTK

  • Referenced in 10 articles [sw21056]
  • implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple...
  • neuralnet

  • Referenced in 6 articles [sw11052]
  • neural networks. Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without...
  • MCTS-Solver

  • Referenced in 5 articles [sw00565]
  • from the traditional MCTS in respect to backpropagation and selectionstrategy. It is able to prove...
  • DOSI

  • Referenced in 2 articles [sw27054]
  • values. While gradient-based methods, such as backpropagation, are frequently used to train multilayer feedforward...
  • StatPatternRecognition

  • Referenced in 1 article [sw15007]
  • forest algorithms, and interfaces to the standard backpropagation neural net and radial basis function neural...
  • YAO

  • Referenced in 1 article [sw19683]
  • linear tangent, the second is a backpropagation on the graph that allows the computation...
  • Neataptic

  • Referenced in 1 article [sw27140]
  • Blazing fast neuro-evolution & backpropagation for the browser and Node.js. Neataptic offers flexible neural networks...
  • gvnn

  • Referenced in 1 article [sw31211]
  • original spatial transformers and allow backpropagation to enable end-to-end learning of a network...
  • H-revolve

  • Referenced in 1 article [sw35925]
  • field of automatic differentiation or backpropagation. Finally, we evaluate the performance of H-Revolve...
  • Skip RNN

  • Referenced in 1 article [sw36445]
  • difficulty in capturing long term dependencies. In backpropagation through time settings, these issues are tightly...
  • NARA-WPE

  • Referenced in 1 article [sw38160]
  • integration into larger computational graphs and enables backpropagation through WPE to train more advanced front...
  • Lightweight Neural Network

  • Referenced in 0 articles [sw05529]
  • lightweight implementation in C of a backpropagation neural network. It is intended ... complex neural network library. It features multilayer backpropagation neural network with settable momentum and learning...
  • Signatory

  • Referenced in 0 articles [sw31482]
  • includes features such as GPU support and backpropagation. To our knowledge it is the first...
  • MXYZPTLK

  • Referenced in 5 articles [sw00008]
  • C++ Hacker’s implementation of automatic differentiation...
  • ADOL-C

  • Referenced in 244 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • GRESS

  • Referenced in 13 articles [sw00385]
  • GRESS, a preprocessor for sensitivity analysis of Fortran...