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CNN iliyopanuliwa×Kitengo cha Kurudiana kilicho na Lango (GRU)×
NyanjaUjifunzaji wa KinaUjifunzaji wa Kina
FamiliaMachine learningMachine learning
Mwaka wa asili20162014
Mwanzilishivan den Oord, A. et al.; Bai, S., Kolter, J.Z. & Koltun, V.Cho, K. et al.
AinaDeep learning (dilated 1D convolutional network)Gated recurrent neural network unit
Chanzo asiliavan den Oord, A. et al. (2016). WaveNet: A Generative Model for Raw Audio. arXiv. link ↗Cho, K. et al. (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. EMNLP. link ↗
Majina mbadalaDilate Edilmiş CNN (WaveNet / TCN), WaveNet, Temporal Convolutional Network, TCNKapılı Tekrarlayan Birim (GRU), gated recurrent unit, gated recurrent network
Zinazohusiana55
MuhtasariA Dilated CNN is a one-dimensional convolutional network whose receptive field grows exponentially with depth, letting it model long-range structure in time series and audio signals. WaveNet (van den Oord et al., 2016) and the Temporal Convolutional Network of Bai, Kolter and Koltun (2018) are the prominent members of this family.The Gated Recurrent Unit (GRU) is a gated recurrent neural network cell introduced by Cho and colleagues in 2014 that captures long-range dependencies in sequential data using update and reset gates, achieving performance comparable to LSTM with fewer parameters.
ScholarGateSeti ya data
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Dilated CNN · GRU. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare