CASCON 2017 - Neural Networks Workshop

This repository contains the Neural Network workshop material delivered at CASCON 2017

The workshop was delivered in two major parts

Part 1 - Introduction to Machine Learning using Scikit-learn

This part of the workshop is an introduction to machine learning concepts and terminalogy using one of the popular libraries called (scikit-learn)[http://scikit-learn.org/stable/]

The examples are written in a Jupyter Notebook.

You can run this either in your local environment or on a hosted solution

Local environment

The fastest way to get a local environment suitable to run jupyter notebooks with most of the libraries is to install Anaconda

Steps

• Git clone or download this repository on your local machine
• Open a command prompt and change to the directory where this repository is localed
• Execute jupyter notebook, which will run the server and open your default browser, listing the available folders and notebooks
• From the resulting interface navigate into the lab directory and open the notebook

Hosted environment

You can load the notebook in this repository into the IBM Data Science Experience (i.e. DSX) solution.

Part 2 - Introduction Neural Networks

This is an introduction to neurla networks using the MNIST data set.