人工智能
深度学习NLP教学 - 牛津大学
课程目录
- 1.Introduction__Phil_Blunsom
- 2.Deep_Neural_Networks__Wang_Ling
- 3.Word_Level_Semantics__Ed_Grefenstette
- 4.Overview_of_the_Practicals__Chris_Dyer
- 5.Language_Modelling_and_RNNs_Part_1__Phil_Blunsom
- 6.Language_Modelling_and_RNNs_Part_2__Phil_Blunsom
- 7.Text_Classification__Karl_Moritz_Hermann
- 8.Deep_NLP_on_Nvidia_GPUs__Jeremy_Appleyard
- 9.Conditional_Language_Models__Chris_Dyer
- 10.Generating_Language_with_Attention__Chris_Dyer
- 11.Speech_Recognition_ASR__Andrew_Senior
- 12.Text_to_Speech_TTS__Andrew_Senior
- 13.Question_Answering__Karl_Moritz_Hermann
- 14.Memory__Ed_Grefenstette
- 15.Linguistic_Knowledge_in_Neural_Networks
课程介绍
牛津大学与DeepMind合办的深度学习自然语言处理课程，这是一门应用课程，重点介绍了近年来在使用递归神经网络分析和生成语音和文本方面取得的进展。
