Machine learning

Dilated CNN

A 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.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  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

Related methods

Referenced by

ScholarGateDilated CNN (Dilated Convolutional Network (WaveNet / Temporal Convolutional Network)). Retrieved 2026-06-04 from https://scholargate.app/en/deep-learning/dilated-cnn