EuroPython 2016

A Gentle Introduction to Neural Networks (with Python)

Speaker(s) Tariq Rashid

A gentle introduction to neural networks, and making your own with Python.

This session is deliberately designed to be accessible to everyone, including anyone with no expertise in mathematics, computer science or Python.

From this session you will have an intuitive understanding of what neural networks are and how they work. If you are more technically capable, you will see how you could make your own with Python and numpy.

Part 1 - Ideas: - the search for AI, hard problems for computers easy fro humans - learning from examples (simple classifier) - biologically inspired neurons and networks - training a neural network - the back propagation breakthrough - matrix ways of working (good for computers)

Part 2 - Python: - Python is easy, and everywhere - Python notebooks - the MNIST data set - a very simple neural network class - focus on concise and efficient matrix calculations with bumpy - 97.5% accuracy recognising handwritten numbers - with just a few lines of code!

Part 3 - Q&A

in on Friday 22 July at 10:30 See schedule


  1. Gravatar
    Can you please share the slides? The talk was *very* nice and well prepared.

    — Roberto Polli,
  2. Gravatar
    Found something here: uploading to EP website would be cool
    — Roberto Polli,
  3. Gravatar
    Thanks .. I'm glad people found it useful.

    The slides will always be at

    (also linked from the blog)
    — Tariq Rashid,

New comment