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Noisy Recurrent Neural Networks
The dataset is a class of noisy recurrent neural networks with w (unbounded) weights for classification of sequences of length T, where independent noise distributed according... -
Random 2-RNN problem
The dataset used in this paper is a collection of sequences of discrete symbols from the alphabet {a, b}. -
Automated Correction for Syntax Errors in Programming Assignments using Recur...
We present a technique for providing feedback on syntax errors that uses Recurrent neural networks (RNNs) to model syntactically valid token sequences. -
Character Level Penn Treebank dataset
The Character Level Penn Treebank dataset is a benchmark for evaluating the ability of RNNs to model language. -
bAbI Question Answering dataset
The bAbI Question Answering dataset is a benchmark for evaluating the ability of RNNs to answer questions. -
Associative Recall Task
The Associative Recall Task is a benchmark for evaluating the ability of RNNs to recall information from memory. -
Copying Memory Task
The dataset used in the paper is the copying memory task, which consists in remembering a sequence of letters from some alphabet A = {ak}N k=1. -
Visual-Inertial Odometry (VIO) dataset
A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm. -
Long short-term memory
Long short-term memory -
TIMIT dataset
The dataset used in this paper is a collection of phonetically and phonologically local allophonic distribution in English, where voiceless stops surface as aspirated... -
Somatosensory cortex data
Real data recorded from the primary somatosensory cortex of macaques. -
Synthetic RNN task
Synthetic data generated from a synthetic (teacher) RNN with random parameters. The data is recorded from the primary somatosensory cortex of macaques. -
Long Short-Term Memory (LSTM)
The Long Short-Term Memory (LSTM) dataset is a dataset used for training LSTM models.
