Description:

<p>What are Neural Networks? How do they work?<br>How does the concept of probability take its place in Neural Networks?<br>How do Neural Networks provide the output?</p>

<p>We will walk through the concept of Neural Networks, how they work and where they benefit over other ML algorithms in this workshop.<br> The workshop will cover the various types of neural networks while highlighting the advantages & disadvantages of each.</p> <p>Participants will get to work with some basic types of Neural Networks, and at the end, will be able to design:<br> <ul> <li>A Neural Network that can generate it's own stories.</li> <li>A Neural Network that can distinguish handwritten digits</li></p> <p>The workshop will conclude with a demo of a Neural Network to determine whether a user will like a particular video file or not.</p>

Proceedings of the workshop:

1. Introduction to Neural Nets
2. Types of Neural Nets
3. Tensorflow and TFLearn
4. Hands-on with Neural Networks
5. Demo of a Neural Network

Prerequisites:

Basic knowledge of Python<br> A general idea of Machine Learning<br> A *NIX/Windows machine with: <ul> <li>Python 2/3</li> <li>Tensorflow (and its dependancies)</li> <li>tflearn</li>

Content URLs:

Session contents can be found <a href="https://github.com/sathe-aditya/PyCon-2017">here</a>.

Speaker Info:

Aditya Sathe is a CS senior at VIT University, Chennai Campus. He developed interest in Machine Learning in his sophomore year.<br> Since then he has worked on numerous projects involving Machine Learning, Data Mining, Image Processing, Natural Language Processing and Internet of Things.<br>Interning at startups that heavily implement Machine Learning in their product line helped him garner firsthand experience at what goes on behind-the-scenes while being directly involved with product development. <br>He has a keen interest in research activities and is working with a few professors in and outside India.

Speaker Links:

https://github.com/sathe-aditya

https://www.linkedin.com/in/satheaditya/