Tensorflow Workshop
(PastUpcoming)tensor flow ML sklearn
With Tensorflow 2.0 released in alpha recently, we want to bring the community upto speed with the new version of the framework. This workshop is a step in that direction!
In the first session of the workshop, we introduced the participants to a typical ML pipeline and talked about various paradigms of learning (Supervised, Unsupervised, etc.).
We also demo-ed three basic ML algorithms for the participants to be able to see them in action and learn the math and intuition behind them. These algorithms were:
— Linear Regression
— K-Nearest Neighbours
— K-means clustering
At the end of the session, we opened a Kaggle contest for the students to participate in and play around with what they learnt.
With this session, we want to make our path towards Deep Learning, motivate it in a manner that makes the community realise the importance of Deep Learning techniques and why they are necessary. Additionally, our end goal is to bring them to a point where they can explore Deep Learning on their own with Tensorflow!
Speakers: