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Gated recurrent unit
An Overview of Deep Learning Strategies for Time Series Prediction
Improving Gated Recurrent Unit Predictions with Univariate Time Series Imputation Techniques
Sentiment Analysis with Gated Recurrent Units
Arxiv:1910.10202V2 [Cs.LG] 6 Aug 2021 Its Richer Representational Capacity
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Gate Recurrent Unit, Long Short-Term Memory
Hate Speech Detection for Indonesia Tweets Using Word Embedding and Gated Recurrent Unit
Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
Learning Over Long Time Lags
Email Spam Classification Using Gated Recurrent Unit and Long Short-Term Memory
A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion
Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation
Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting
Time Series Reconstruction Using a Bidirectional Recurrent Neural Network Based Encoder-Decoder Scheme
Application of Gated Recurrent Unit (GRU) Neural Network for Smart Batch Production Prediction
Reversible Recurrent Neural Networks
Time Series Analysis 7
An Autoencoder Gated Recurrent Unit for Remaining Useful Life Prediction
Top View
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Recurrent Neural Networks
Intrusion Detection Using Recurrent Autoencoders in Automotive Embedded Systems
(GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data Abien Fred M
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy
An Improved Deep Learning Approach Based on Variant Two-State Gated Recurrent Unit and Word Embeddings for Sentiment Classification
Neural Networks Backpropagation Algorithms and Reservoir
Deep Gate Recurrent Neural Network
Short-Term Load Forecasting Using Encoder-Decoder Wavenet: Application to the French Grid
Generative Deep Learning Architecture for Vehicular Traffic Flow Prediction
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
Real-Time Black-Box Modelling with Recurrent Neural Networks
Reading Selectively Via Binary Input Gated Recurrent Unit
Deep Convolutional Recurrent Autoencoders for Learning Low-Dimensional Feature Dynamics of fluid Systems
An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments Arxiv:1512.05509
Forecasting Method Based Upon GRU-Based Deep Learning Model
Recurrent Control Nets As Central Pattern Generators for Deep Reinforcement Learning
The Estimation Life Cycle of Lithium-Ion Battery Based on Deep Learning Network and Genetic Algorithm