temmytope-seun/odsc_neural_nets_11-04-17

Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017

ODSC_Neural_Nets_11-04-17

A talk that explains how neural nets work, mathematically, alongside a walkthrough of the associated code that builds them from scratch using Python. This talk was delivered at ODSC West 2017 as "Deep Learning From Scratch Using Python".

The "ODSC_Deep_Learning_2017.ipynb" notebook contains the talk. It is designed to be viewed using RISE. The instructions for viewing the talk, therefore, are:

1. Clone this repo: git clone [email protected]:SethHWeidman/ODSC_Neural_Nets_11-04-17.git
2. Follow the instructions in the RISE repository to download RISE and configure it correctly as a Jupyter extension.
3. Open a Jupyter Notebook by typing jupyter notebook in the terminal.
4. Begin slideshow mode, being sure to run all the code cells as you go along.

You may first need to install Jupyter; if so, see here for instructions.

Enjoy!