Here is a link to the talk: https://www.youtube.com/watch?v=bvZnphPgz74
My tutorial for PyData Carolinas 2016. I start out with the basics of Theano and Keras, then dive a bit deeper with word embeddings and recurrent networks, and finish by talking about and visualizing how one type of attention works for RNNs.
Short URL to this page: goo.gl/pem8Pf
This set of activities give an introduction to deep language modeling, based on this blog post. It is ideal for people who are semi-comfortable using Theano or Tensorflow and have some familiarity with Keras, although if you've never tried any of them, the best way to learn is by doing!
install.sh is a script I wrote to easily get it set up on my Mac, but it should work on a Linux system as well. The basic dependencies are Jupyter, Theano, Keras and matplotlib.
Install the Python package manager (if you don't already have it)
sudo easy_install pip # Mac sudo apt install python-pip # Ubuntu ??? # Windows
Install the virtual environment tool for managing dependencies (if you don't already have it)
sudo pip install virtualenv
Clone the repository somewhere on your computer and create a virtual environment to install the project dependencies
cd /path/to/desired/directory/ git clone https://github.com/codekansas/pydata-carolinas-2016 cd pydata-carolinas-2016 virtualenv venv source venv/bin/activate pip install --upgrade Theano keras h5py jupyter matplotlib
You can see the notebooks by launching the Jupyter workspace
If you want to contribute something, feel free! Just make sure it is grammatically correct and all the code works.