Deep Learning for Text Processing Workshop at Machine Learning Prague 2018

First, for the 2019 update visit

http://tinyurl.com/mlprague19-slides

which also has links to two colab notebooks with the 2019 edition of this workshop.

Instructions for attendees of NLP workshop:

Please come with a working Python installation that includes:
- Jupyter notebook server
- Packages: Tensorflow (1.5.0; GPU not required!), Keras (2.1.5), NLTK (3.2.5)
- Detailed instructions:
  - Linux, MacOSX:
    - create a Python virtual environment by running the following in terminal:
      pip install virtualenv virtualenv --system-site-packages pymlprague source pymlprague/bin/activate pip install tensorflow==1.5.0 keras==2.1.5 nltk==3.2.5 jupyter
  - MacOSX, Windows:
    - If you don’t have Python installed you can download and install Anaconda
    - You can then create a virtual environment with command line:
      conda create -n pymlprague tensorflow=1.5.0 keras=2.1.5 nltk=3.2.5 jupyter source activate pymlprague
  - You can find detailed steps for Keras and Tensorflow under the following links, just in case:
    - https://keras.io/#installation
    - https://www.tensorflow.org/install/
- (Note that we will assume basic familiarity with Python.)
Download big data required for the experiments you will be doing:
- https://nlp.stanford.edu/data/glove.6B.zip
- http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
- python -m nltk.downloader semcor punkt perluniprops