This is a tutorial I gave at PyData Istanbul. In this talk we briefly go over the basics of Machine Learning and build a ConvNet from scratch.
Humans rely a lot on their visual perception to understand the world. Can machines do the same? In this talk we will briefly go over the basics of machine learning with biologically inspired neural networks. We will then discuss the details of convolutional neural networks and how to use them to understand images.
Teaching Machines to Understand What They See
Part I - Background
- What is Learning and How Machines Learn?
- A Brief Introduction to Neural Networks
Part II - Understanding Images
- How Our Visual System Works
- Convolutional Neural Networks
Part III - Building a ConvNet From Scratch
- How to Build a CNN for Object Recognition with Python in Keras
IPython Notebook for the tutorial is also available here.