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Dilated CNN

Dilated CNN 是一种一维卷积网络，其感受野随深度呈指数增长，能够对时间序列和音频信号中的长程结构进行建模。WaveNet (van den Oord et al., 2016) 和 Bai, Kolter and Koltun (2018) 的 Temporal Convolutional Network 是该家族的杰出代表。

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Dilated CNN
双向循环神经网络门控循环单元 (GRU)随机森林序列到序列模型XGBoost卷积神经网络图像分类TextCNN

来源

  1. van den Oord, A. et al. (2016). WaveNet: A Generative Model for Raw Audio. arXiv. link ↗
  2. Bai, S., Kolter, J.Z. & Koltun, V. (2018). An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv:1803.01271. link ↗

如何引用本页

ScholarGate. (2026, June 1). Dilated Convolutional Network (WaveNet / Temporal Convolutional Network). ScholarGate. https://scholargate.app/zh/deep-learning/dilated-cnn

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卷积神经网络图像分类TextCNN

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ScholarGate — Dilated CNN (Dilated Convolutional Network (WaveNet / Temporal Convolutional Network)). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/dilated-cnn · 数据集： https://doi.org/10.5281/zenodo.20539026