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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network [PDF]
Physica A: Statistical Mechanics and its Applications, 2020 Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in scientific journals, technical blogs, and implementation guides.
Sherstinsky, Alex
core +2 more sources
DB-RNN: An RNN for Precipitation Nowcasting Deblurring
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPrecipitation nowcasting based on artificial intelligence has garnered widespread attention in the meteorological and computer communities in recent years. While new models are continuously proposed to refresh the forecasting performance, the problem of gradual blurring of forecast maps as the forecast period extends is still serious.
Zhifeng Ma, Hao Zhang, Jie Liu
openaire +3 more sources
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU [PDF]
Journal of Artificial Intelligence, 2023 Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets.
Farhad Shiri +3 more
semanticscholar +1 more source
Music Source Separation With Band-Split RNN [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2022 The performance of music source separation (MSS) models has been greatly improved in recent years thanks to the development of novel neural network architectures and training pipelines. However, recent model designs for MSS were mainly motivated by other
Yi Luo, Jianwei Yu
semanticscholar +1 more source
DESIGNING EFFECTIVE CHATBOT SYSTEM USING GRU WITH BEAM SEARCH
ICTACT Journal on Soft Computing, 2022 Artificial Intelligence (AI) based Chatbot is a moderately new technology in the world. AI and Natural Language Processing (NLP) empowers a Chatbot to converse like a human being.
Sandeep A. Thorat +2 more
doaj +1 more source
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 In this paper we present an end-to-end speech recognition model with Transformer encoders that can be used in a streaming speech recognition system. Transformer computation blocks based on self-attention are used to encode both audio and label sequences ...
Qian Zhang +6 more
semanticscholar +1 more source
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2014 In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixedlength vector representation, and the other decodes the ...
Kyunghyun Cho +6 more
semanticscholar +1 more source
Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms
Energies, 2023 Forecasting the electrical load is essential in power system design and growth. It is critical from both a technical and a financial standpoint as it improves the power system performance, reliability, safety, and stability as well as lowers operating ...
Mobarak Abumohsen, A. Y. Owda, M. Owda
semanticscholar +1 more source
Click-through rate prediction model based on a deep neural network
工程科学学报, 2022 The click-through rate (CTR) prediction task is to estimate the probability that a user will click an item according to the features of user, item, and contexts.
Hong-li LIU +4 more
doaj +1 more source
Gated Recurrent Unit Based On Feature Attention Mechanism For Physical Behavior Recognition Analysis
Journal of Applied Science and Engineering, 2022 In order to overcome the problem that traditional machine learning methods rely heavily on artificial feature selection and have low recognition accuracy in the field of human behavior recognition, a deep learning model based on multi-layer recurrent ...
Wen Ying
doaj +1 more source