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Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
Nelly Elsayed, Anthony S. Maida, Magdy Bayoumi
Hybrid LSTM-fully convolutional networks (LSTM-FCN) for time series classification have produced state-of-the-art classification results on univariate time series. We show that rep…
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction
Nelly Elsayed, Anthony S. Maida, Magdy Bayoumi
Spatiotemporal sequence prediction is an important problem in deep learning. We study next-frame(s) video prediction using a deep-learning-based predictive coding framework that us…
Deep Learning in Spiking Neural Networks
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh +2
In recent years, deep learning has been a revolution in the field of machine learning, for computer vision in particular. In this approach, a deep (multilayer) artificial neural ne…