Deep Learning Summit 2019. Build ur own A.I product/app

Analyst firm International Data Corporation (IDC) estimates: 80 percent of all applications will have an AI component by 2020

Summit structure?
Every software or application is becoming intelligent and this intelligence is feuled by artificial intelligence. Learn how to build intelligent software/application using Artificial Intelligence which is composed of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing at Deep Learning Summit 2019.

Eligibility criteria?
A begineer with understanding of Python can attend Foundations of Deep Learning and A.I development tracks are for Intermediate and Advanced Level.

Why Deep Learning Summit?
Aegis School of Data Science believes any conference outcome is based on its learning and experience for the delegates. There is already vast content accessible in the open world and we believe there is a need for the event where delegates can build their own particular application with the assistance of practitioners in the business.

Deep Learning Summit concentrates no discussion no attempt to sell something, no point of view about a subject, however, more on helping the data aficionados who will create Artificial Intelligence application using Deep Learning. Workshop based model to ensure productive outcome from various development tracks.

Why I Need to participate?
To be an effective early adopter of Artificial Intelligence (A.I.), you have to understand the foundations of A.I., learn about use cases and developments of A.I. applications and be able to dive deep into technologies you need to use to apply AI in your organization.

If you seek more than a perspective and want to develop your own A.I. products. You can develop at the Deep Learning Summit 2019 in Bengaluru.

Dates & Time?
12 & 13 January 2019 (Saturday & Sunday)

10:00 AM to 5:00 PM (both the days)

Location?
Bengaluru, India

12 January - Foundation
10:00 AM to 1:00 PM | Fundamentals on Deep Learning
2:00 PM to 5:00 PM | Data conversion from unstructured to structure
13 January- AI application Development
(Choice of any one track)

Track # 1
10:00 AM to 5:00 PM | How to build Image A.I. applications with Deep Learning
Track # 2
10:00 AM to 5:00 PM | Deep Learning for Natural Language Processing
Track # 3
10:00 AM to 5:00 PM | How to build a recommender system

Registration accepted on mUnivesity portal only

Please Register your seat http://bit.ly/2QceTOE

Contact Vivek Nambiar in case of assistance needed.
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