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Deep Neural Networks for Emotion Recognition methods. Deep convolutional neural networks and recurrent neural networks with bidirectional LSTM memory
Development of recurrent neural networksThe Recurrent neural network (RNN) has been the main implementation of neural network sequence
Neural networks: forecasting economic time series in this paper. The use of Recurrent Neural Networks (RNNs) and their variants is described.
Medical concept normalization in social media posts with recurrent neural networks from the lay public. To bridge this gap, we use sequence learning with recurrent neural networks
Solving the problem of sentiment analysis using neural network models of sentiment analysis based on neural network models of natural language processing. The methods are based
Recurrent neural network for human activity recognition systems using photoplethysmography and accelerometer smartphone dataRecurrent neural network for human activity recognition systems using photoplethysmography
Financial robot based on deep neural networksFinancial robot based on deep neural networks
Information Capacity of a Neural Network with Redundant Connections Between Neurons© 2017 IEEE. In this work the model of a spiking recurrent neural network where any pair of neurons
Technology of neurological disease recognition using gated recurrent unit neural network and internet of things into the gated recurrent unit neural network model for its training, testing and achieve the disease diagnosis
Agent communication method in cooperative environment based on the artificial neural networks in this paper. An algorithm is proposed that is based in reinforcement learning and
recurrent neural networks
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