Tensorflow 2.0 Implementation of Very Deep Convolutional Neural Network for Text Classification
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Updated
Nov 30, 2019 - Python
Tensorflow 2.0 Implementation of Very Deep Convolutional Neural Network for Text Classification
From linear models to very deep CNNs on text classification tasks.
Keras Implementation of Very Deep Convolutional Neural Network for Text Classification
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Implementation of Very Deep Convolutional Neural Network for Text Classification
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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