Google AI | Explore ML
Let’s learn Machine Learning together!
A two day workshop in collaboration with Google Devs India and GLUG MVIT for beginner and intermediate developers. The goal of this event is to make people get stared with Machine Learning development.
Explore Machine Learning is a campaign designed for University students across India, APAC and EMEA to help them get started with basic concepts in machine learning and implementation of TensorFlow and eventually walk towards advanced concepts of machine learning. It is complemented with a couple of playground exercises and hands-on activities that can help boost confidence about the skills learnt in the curriculum.
We believe these skills can help you plan your career field of interests well in advance and support you to nurture your ideas into reality to build some amazing products with the help of AI/ML.
ML basics with Keras (Beginners)
Date: Oct 11, 2019
|1.||Overview + Intro to ML||09:00 - 10:00||1.0 hr||Ravi Jain|
|2.||Basic classification: Classify images of clothing||10:00 - 10:30||0.5 hr||Abhijeet Singh|
|3.||Exploratory Data Analysis||10:30 - 11:00||0.5 hr||Avikant, Sanyam and Ritesh|
|4.||Text Classification: Movie Review||11:00 - 11:25||0.41 hr||Vipul Gaurav|
|5.||Regression: Predict Fuel Efficiency||11:25 - 11:50||0.41 hr||Abhijeet Singh|
|6.||Exploring Overfit and Underfit||11:50 - 12:15||0.41 hr||Vipul Gaurav|
|7.||Q & A||12:15 - 12:30||0.25 hr||-|
Image Captioning with Tensorflow 2.0 (Intermediate)
Date: Oct 12,2019
Speaker: Shadab Hussain, Google AI Explore ML Facilitator
|1.||ML Extended + Problem Framing||0.5 hr||9:00-9:30|
|2.||First steps with TF 2.0||0.5 hr||9:00-10:00|
|3.||Building Image captioning with TF 2.0||1.0 hr||10:00-11:00|
|4.||Deploying the Trained Model||1.0 hr||11:00-12:00|
Admin Block, Sir MVIT (Sir M Visvesvaraya Institute of Technology). International Airport Road, Hunasamaranahalli, Yelahanka, Krishnadeveraya Nagar, Bengaluru, Karnataka 562157
Registration for attendees in the Google AI | ML Explore can be found at https://bit.ly/mviteml/. Seats on First come First Serve Basis.