• Evolino

  • Referenced in 19 articles [sw36450]
  • state to output. Using the Long Short-Term Memory RNN Architecture, the method is tested...
  • Lasagne

  • Referenced in 7 articles [sw20936]
  • Networks (CNNs), recurrent networks including Long Short-Term Memory (LSTM), and any combination thereof. Allows...
  • DeepSleepNet

  • Referenced in 2 articles [sw21053]
  • time-invariant features, and bidirectional Long Short- Term Memory (bidirectional-LSTM) to learn transition rules...
  • LSTMVis

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

  • Referenced in 1 article [sw27138]
  • architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines...
  • DiffRNN

  • Referenced in 1 article [sw42701]
  • neural networks (RNNs) such as Long Short Term Memory (LSTM) networks have become popular...
  • RETURNN

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

  • Referenced in 3 articles [sw36647]
  • this problem, we propose a long short-term memory-based (LSTM-based) realtime traffic prediction...
  • AntisymmetricRNN

  • Referenced in 7 articles [sw27774]
  • tasks requiring long-term memory and matches the performance on tasks where short-term dependencies...
  • rwthlm

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

  • Referenced in 1 article [sw42489]
  • uses a sequence-to-sequence long short-term memory model trained to predict mutation probabilities ... sequence evolution and reveals unexpectedly strong long-range context dependencies in mutation probabilities. EvoLSTM brings...
  • DeepTorrent

  • Referenced in 1 article [sw40013]
  • module integrated with the bidirectional long short-term memory (BLSTM) to effectively learn the higher...
  • 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...
  • CPINet

  • Referenced in 1 article [sw39951]
  • neural network (CNN) and improved long short-term memory (LSTM) neural network, a deep learning...
  • 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...
  • PointRNN

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

  • Referenced in 1 article [sw39596]
  • combining it with a long short-term memory (LSTM) architecture. By learning to exploit temporal...
  • SaDNet

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