Re:Oxford Deep NLP – An advanced course on natural language ...
by snissn on Tuesday February 07, 2017 @10:25AM
(#13589915)
Would you be able to post your own solutions for the non sense spewing ted bot? I'd like to jump into hacking on something that already works while also working through the theory from the lectures
Re:Oxford Deep NLP – An advanced course on natural language ...
by jkbschwarz on Tuesday February 07, 2017 @03:51PM
(#13592668)
Yes happy to share once the evaluation period is over, but sadly I dont think Im allowed to share beforehand. Will have to check when but I expect it should be in approximately 2 weeks.
In the meantime, you might want to check out this excellent blog post http://r2rt.com/recurrent-neural-networks-in-tensorflow-ii.h.... This will provide you with skeleton code to implement a character level generative model (similar to Practical 3, Task 2 with the exception that there you will generate words and not characters). Andrej Karpathy's blog post on LSTMs is also excellent and I believe he also provides the code in his repository as well http://karpathy.github.io/2015/05/21/rnn-effectiveness/
Re:Oxford Deep NLP – An advanced course on natural language ...
by axplusb on Tuesday February 07, 2017 @08:41AM
(#13589229)
Regarding practicals: is there anything more than the overview slides ?
Re:Oxford Deep NLP – An advanced course on natural language ...
by mcintyre1994 on Tuesday February 07, 2017 @09:02AM
(#13589348)
The org : https://github.com/oxford-cs-deepnlp-2017
That contains repos for practicals, eg. Practical 1: https://github.com/oxford-cs-deepnlp-2017/practical1
Re:Oxford Deep NLP – An advanced course on natural language ...
by jkbschwarz on Tuesday February 07, 2017 @09:01AM
(#13589347)
yes if you go to the root https://github.com/oxford-cs-deepnlp-2017/ you will find the practicals 1-3. Practical 1 has a jupyter notebook skeleton. Practicals 2 & 3 are simply questions guiding your implementation, but you are supposed to write it yourself from scratch.
For anyone considering working through this outside of Oxford: I think the practicals are the real gems here and should be doable without the practical lab sessions that you get when attending the course. With that being said, they use a dataset a bit closer to a real world assignment. Therefore, it requires some patience when wrangling the data especially for the later practicals.
However, the patience should pay off and it is rewarding once you build your own nonsense spewing TEDbot!