• Evolino

  • Referenced in 17 articles [sw36450]
  • state to output. Using the Long Short-Term Memory RNN Architecture, the method is tested...
  • Lasagne

  • Referenced in 6 articles [sw20936]
  • Networks (CNNs), recurrent networks including Long Short-Term Memory (LSTM), and any combination thereof. Allows...
  • LSTMVis

  • Referenced in 3 articles [sw27157]
  • neural networks, and in particular long short-term memory (LSTM) networks, are a remarkably effective...
  • RETURNN

  • Referenced in 2 articles [sw26580]
  • training for recurrent; neural networks; Long short-term memory recurrent neural networks including...
  • rwthlm

  • Referenced in 1 article [sw26596]
  • language models (feedforward, recurrent, and long short-term memory neural networks). The software was written...
  • CURRENNT

  • Referenced in 1 article [sw12814]
  • bidirectional RNNs with Long Short-Term Memory (LSTM) memory cells which overcome the vanishing gradient...
  • StageNet

  • Referenced in 1 article [sw36874]
  • stage-aware long short-term memory (LSTM) module that extracts health stage variations unsupervisedly...
  • DeepScan

  • Referenced in 1 article [sw30721]
  • particular, we introduce the long short-term memory (LSTM) neural network to conduct time series...
  • Her2Net

  • Referenced in 1 article [sw27573]
  • sampling layers, and trapezoidal long short-term memory (TLSTM). A fully connected layer...
  • DeepRT

  • Referenced in 1 article [sw22012]
  • Residual Network (ResNet) and Long Short-Term Memory (LSTM). In contrast to the traditional predictor...
  • PointRNN

  • Referenced in 1 article [sw36644]
  • Recurrent Unit (PointGRU) and Point Long Short-Term Memory (PointLSTM). We apply PointRNN, PointGRU...
  • SaDNet

  • Referenced in 1 article [sw33467]
  • then passed to stacked Long Short-Term Memory blocks. Thus, human-centered frame-wise information...
  • rna-state-inf

  • Referenced in 1 article [sw33162]
  • recognize nonlocal dependencies. Bidirectional long short-term memory (LSTM) neural networks have emerged...
  • TrafficPredict

  • Referenced in 1 article [sw36647]
  • this problem, we propose a long short-term memory-based (LSTM-based) realtime traffic prediction...
  • Clockwork RNN

  • Referenced in 6 articles [sw36448]
  • temporal dependencies by virtue of the short-term memory implemented by their recurrent (feedback) connections ... difficult to train successfully when the long-term memory is required. This paper introduces...
  • AntisymmetricRNN

  • Referenced in 2 articles [sw27774]
  • tasks requiring long-term memory and matches the performance on tasks where short-term dependencies...
  • Matlab

  • Referenced in 12309 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NAG

  • Referenced in 417 articles [sw00610]
  • Produced by experts for use in a variety...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • NEURON

  • Referenced in 179 articles [sw03059]
  • Parallel network simulations with NEURON. The NEURON simulation...