Abstract: This talk will discuss the story of Perceptron, a young open source software for a new and clear perspective on artificial neural networks.
Many programmers across the world are yet to find a presentable, visual tool which helps their first few steps towards a greater understanding of the inner workings of neural networks.
I am seventeen, still go to school, and now want to offer my tool to the machine learning community. I will talk briefly about my story, before going into detail about what, why and how Perceptron came to be what it is.
Expect code, demos, the odd joke, and lots more.
Bio: Caspar taught himself to write code with initial help from an employee at Google in Mountain View California, who motivated him to write code everyday and put new ideas into perspective. His interest in computers started with very basic electronic engineering when he was only 6, before moving on to code at the age of about 8. Since, he has experimented with many different areas of computing, from web security to computer vision.