Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| TextCNN× | Dilated CNN× | |
|---|---|---|
| Obor | Hluboké učení | Hluboké učení |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 2014 | 2016 |
| Tvůrce≠ | Kim, Y. | van den Oord, A. et al.; Bai, S., Kolter, J.Z. & Koltun, V. |
| Typ≠ | Convolutional neural network (deep learning) | Deep learning (dilated 1D convolutional network) |
| Původní zdroj≠ | Kim, Y. (2014). Convolutional Neural Networks for Sentence Classification. EMNLP. DOI ↗ | van den Oord, A. et al. (2016). WaveNet: A Generative Model for Raw Audio. arXiv. link ↗ |
| Další názvy≠ | CNN — Metin Sınıflandırma (TextCNN), convolutional neural network for sentence classification, sentence-level CNN, TextCNN | Dilate Edilmiş CNN (WaveNet / TCN), WaveNet, Temporal Convolutional Network, TCN |
| Příbuzné | 5 | 5 |
| Shrnutí≠ | TextCNN is a convolutional neural network for text classification, introduced by Yoon Kim in 2014, that applies parallel convolution filters of different window sizes over word embeddings to capture local n-gram patterns. It is fast and effective for sentiment analysis and topic classification. | 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. |
| ScholarGateDatová sada ↗ |
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