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N-MNIST and SHD datasets
The dataset used for training and testing the accelerated ALIF SNN model. -
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... -
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. -
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. -
Image Captioning Task
The dataset used in the paper is a image captioning task. -
Sequence-to-Sequence Learning Task
The dataset used in the paper is a sequence-to-sequence learning task. -
Long short-term memory
Long short-term memory -
Anomaly Detection in Cyber-Physical Systems
The dataset is used for anomaly detection in cyber-physical systems. -
Long Short-Term Memory (LSTM)
The Long Short-Term Memory (LSTM) dataset is a dataset used for training LSTM models.
