পদ্ধতির তুলনা করুন

	TextCNN	ডাইলেটেড সিএনএন
ক্ষেত্র	গভীর শিখন	গভীর শিখন
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	2014	2016
প্রবর্তক	Kim, Y.	van den Oord, A. et al.; Bai, S., Kolter, J.Z. & Koltun, V.
ধরন	Convolutional neural network (deep learning)	Deep learning (dilated 1D convolutional network)
মৌলিক উৎস	Kim, Y. (2014). Convolutional Neural Networks for Sentence Classification. EMNLP.	van den Oord, A. et al. (2016). WaveNet: A Generative Model for Raw Audio. arXiv.
অপর নাম	CNN — Metin Sınıflandırma (TextCNN), convolutional neural network for sentence classification, sentence-level CNN, TextCNN	Dilate Edilmiş CNN (WaveNet / TCN), WaveNet, Temporal Convolutional Network, TCN
সম্পর্কিত	5	5
সারসংক্ষেপ	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.