QMUL_PhD

First part

This repository contains code for a "Python" PhD course on Queen Mary University London.

The above code is for day 4 of the course "Strings, regular explressions and working with text".

This repository contains practical excercises for the "Deep learning" course, organised in 4 parts:

(1) introduction to deep learning notebook

(2) computer vision (cnns) notebook

(3) NLP

(4) generative models

and lecture notes (compiled together for all 4 lectures) with a glossary.

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
AI_Glossary.pdf		AI_Glossary.pdf
CNN.ipynb		CNN.ipynb
NLP_RNN_LSTM.ipynb		NLP_RNN_LSTM.ipynb
README.md		README.md
parsing_text_in_spreadsheets.ipynb		parsing_text_in_spreadsheets.ipynb
simple_nn.ipynb		simple_nn.ipynb
vectoring_text.ipynb		vectoring_text.ipynb
working_with_text.ipynb		working_with_text.ipynb
wos.csv		wos.csv