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Intrusion detection plays an important role in ensuring information security, and the key technology is to accurately identify… Expand Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have… Expand In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks… Expand In this paper we compare different types of recurrent units in recurrent neural networks (RNNs). Especially, we focus on more… Expand Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… Expand The random neural network (RNN) is a recurrent neural network model inspired by the spiking behaviour of biological neuronal… Expand Echo State Networks and Liquid State Machines introduced a new paradigm in artificial recurrent neural network (RNN) training… Expand The capacity to learn from examples is one of the most desirable features of neural network models. We present a learning… Expand We introduce a new class of random neural networks in which signals are either negative or positive. A positive signal arriving… Expand