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深度学习
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前言
第一章:经典网络
第二章:自然语言处理
Recurrent Neural Network based Language Model
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Neural Machine Translation by Jointly Learning to Align and Translate
Hierarchical Attention Networks for Document Classification
Connectionist Temporal Classification : Labelling Unsegmented Sequence Data with Recurrent Neural Ne
About Long Short Term Memory
Attention Is All you Need
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
第三章:语音识别
第四章:物体检测
第五章:光学字符识别
第六章:语义分割
第七章:人脸识别
第八章:网络优化
第九章:生成对抗网络
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第二章:自然语言处理

以下是本节中的文章:
Recurrent Neural Network based Language Model
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Neural Machine Translation by Jointly Learning to Align and Translate
Hierarchical Attention Networks for Document Classification
Connectionist Temporal Classification : Labelling Unsegmented Sequence Data with Recurrent Neural Ne
About Long Short Term Memory
Attention Is All you Need
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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