21 June 2018
TensorBoard FTW!
"Efficient Estimation of Word Representations
in Vector Space" - Mikolov et al (2013)
"Global Vectors for Word Representation"
- Pennington et al (2014)
"Learned in Translation: Contextualized
Word Vectors" - McCann et al (2017-08)
"Deep contextualized word representations"
- Peters et al (2018-02)
What happens if you don't have a
good diagram in your blog / paper
Download and use in TensorFlow = 2 lines of Python
"Universal Language Model Fine-tuning for Text Classification" - Howard & Ruder (2018-05)
Focus on fine-tuning (& practical tricks)
"Improving Language Understanding with Unsupervised Learning" - Radford et al (2018-06)
See the OpenAI blog post for more...
Folder with Demo files on GitHub
Thanks to : Yew Ken Chia
My blog : http://blog.mdda.net/
GitHub : mdda