Deep Learning in NLP [oxford-cs-deepnlp-2017]
As a main book the Deep Learning Book is proposed.
| DeepHack Lab Blog | Lecture | Notes |
|---|---|---|
| [seminar 1] | 1. Deep Neural Networks Are Our Friends | [lecture_1.md] |
| [seminar 2] | 2. Word Level Semantics | [lecture_2.md] |
| [seminar 3] | 3. Language Modelling and RNNs Part 1 | [lecture_3.md] |
| [seminar 4] | 4. Language Modelling and RNNs Part 2 | [lecture_4.md] |
| [seminar 5] | 5. Text Classification | [lecture_5.md] |
| [seminar 6] | 7. Conditional Language Models | [lecture_7.md] |
| [seminar 7] | 8. Generating Language with Attention | [lecture_8.md] |
| [seminar 8] | 11. Question Answering | [lecture_11.md] |
| [seminar 9] | 12. Memory | [lecture_12.md] |
| [seminar 10] | 13. Linguistic Knowledge in Neural Networks | [lecture_13.md] |
| [seminar 11] | 9. Speech Recognition (ASR) | [lecture_9.md] |