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Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
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Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
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
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
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
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