Bengaluru | Aug 10, 2019

Deep Real Learnathon

Dive beyond the theory of Deep Learning. Hone your skills with real examples
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Beyond the theory: Get hands-on experience with Deep Learning

There are an abundance of resources available to help you to learn the principles of deep learning. However, if you want to apply these principles to a practical problem, theory alone is not enough. You need to see it being applied to real problems and there are far fewer opportunities for this.

The Deep Real Learnathon is here to bridge that gap. The Learnathon exposes you to 4 back-to-back, hands-on deep learning sessions where you will apply theory to solve real-world problems. We’ve brought together the best experts from the industry and academia to walk you through real applications of deep real principles.

This rare opportunity to interact with and learn from leading Deep Learning experts is not be missed!


Speakers

Dr. Mayuri Mehta
Dr. Mayuri Mehta

Profressor @ Sarvajanik College of Engineering and Technology

Dr. Ketan Kotecha
Dr. Ketan Kotecha

Dean & Director @ Symbiosis Institute of Technology

Aditya Bhattacharya
Aditya Bhattacharya

Data and Cloud Platform Engineer @ West Pharmaceuticals

Joy Mustafi
Joy Mustafi

Director and Principal Researcher @ Salesforce

Vivek Singhal
Vivek Singhal

Co-Founder & Chief Data Scientist @ CellStrat

Shreyas J
Shreyas J

AI Researcher @ CellStrat

Rishu Gupta
Rishu Gupta

Sr. Application Engineer @ MathWorks

Amit Doshi
Amit Doshi

Sr. Application Engineer - Data Analytics @ MathWorks

Here Is What You’ll Learn

  • Workshop: Building a Deep Learning based Healthcare Application using TensorFlow

    Machine learning and deep learning have been rapidly adopted in various spheres of medicine such as discovery of drug, disease diagnosis, Genomics, medical imaging and bioinformatics for translating biomedical data into improved human healthcare. Machine learning/deep learning based healthcare applications assist physicians to make faster, cheaper and more accurate diagnosis.

    Our discussion on healthcare application will include precise problem statement, the major steps involved in the solution (deep learning based face detection, deep learning based facial landmarking), data set, experimental analysis and challenges faced & overcome to achieve this success. 

    Target Audience

    Data Scientists, ML/DL Practitioners, Python Programmers, Doctors, Researchers, Students & Faculty Members from sectors such as Medical, Engineering and Technology.

    Learn more…

  • Workshop: Person Identification via Multi-Modal Interface with Combination of Speech and Image Data

    Having multiple modalities in a system gives more affordance to users and can contribute to a more robust system. Having more also allows for greater accessibility for users who work more effectively with certain modalities. Multiple modalities can be used as backup when certain forms of communication are not possible. 

    Hands-on Challenge for Attendees

    Real-time multi-modal access control system for authorized access to work environment – All the key concepts and individual steps will be demonstrated and explained in this workshop, and the attendees need to customize the generic code or approach for this assignment.

    Target Audience

    Anyone who has interest to build AI systems across the planet.

    Learn More…

  • Workshop: Training Autonomous Driving Systems to Visualize the Road ahead for Decision Control

    Attendees will learn how to develop advanced image segmentation with FCN/DeepLab algorithms which can help visualize driving scenarios accurately, so as to allow the autonomous driving system to take appropriate action considering the obstacle views.

    The workshop will include:

    • Overview of Semantic Image Segmentation
    • Code Demo of FCN and DeepLab image segmentation
    • Hands-on Workshop for attendees

    Target Audience

    AI and ML practitioners, Data Scientists, AI Researchers, IT Managers and Developers.

    This session is suitable for folks who have some knowledge of Machine Learning and Deep Learning. Prior knowledge of ANNs and CNNs is preferred.

    Learn more…

  • Tutorial: Addressing Deep Learning Challenges

    Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before. Though, getting started might not always be easy. MATLAB being an integrated framework allows you to accelerate building consumer and industrial applications while utilizing the capabilities of open-source frameworks like TensorFlow to train the deep learning networks.

    Join us for a hands-on MATLAB workshop, in which you will explore and learn about deep learning workflow in MATLAB while working on key concepts and challenges such as

    • Accelerating/Automating ground truth labeling for data
    • Designing and Validating deep neural networks
    • Training and tuning deep learning algorithms

    Target Audience

    Data Scientists, Data Engineers, Data Specialists, Machine Learning Engineers, Data Science Enthusiasts

    Learn More…

Why Attend?

You understand Deep Learning theory but would like to be exposed to real applications to hone your practical skills.

Learn from the best. Experts are hard to find and ODSC India has not only found the experts but brought them all together under one roof.

Gain exposure to a variety of applications including TensorFlow and FCN/DeepLab

This rare opportunity to interact with and learn from leading Deep Learning experts is not be missed!

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