An introduction to Deep learning with a walkthrough of its application to business problems across a variety of areas. Case studies range from detection of animals to celebrities, classification of biodiversity to emotions and counting of crowds to coconuts. Deck presented by Ganes Kesari B at the NJ Data Science Meeting, on 27th Oct 2018

1. 1
DEEP LEARNING APPLICATIONS
IN THE INDUSTRY
Ganes Kesari
Co-founder & Head of
Analytics, Gramener

2. WHAT IS DEEP LEARNING?

3. 3
New Input
Desired
Outcome
Machine learning
how to do the job
Known Input
Known
Outcome
MACHINE LEARNING 101
“Programs that solve
the problem”
“Programs that learn
to solve the problem”
vs

4. 4
Input Output
Identify features
to teach model
Traditional Machine Learning
Deep Learning
Person
Name
Input Output
Model automatically identifies
features to learn
Person
Name
WHY DEEP LEARNING?

5. 5
Training Versatile Detection!
NOTICE SIMILARITIES WITH HOW WE HUMANS LEARN?

6. 6
AI
Researcher
s &
Universitie
s
High-Tech
Consumer
Companies
The Real World
‘What is AI?’
‘What is Deep Learning?’
BUT.. ENTERPRISES ARE STILL BOARDING THE DL BANDWAGON

7. DEEP LEARNING
IN THE
INDUSTRY

8. 8
SALMON CONSERVATION IN NISQUALLY RIVER

9. 9
FISH CLASSIFICATION FROM VIDEO FEEDS

10. 10

11. 11
Video

12. 12
A NARRATIVE OF THE ENGAGEMENT
Microsoft case study on this project at: https://partner.microsoft.com/en-us/case-studies/gramener/

13. 13
CLASSIFICATION OF BIODIVERSITY

14. 14

15. 15
DETECTION OF ANIMALS

16. 16

17. 17
DETECTION OF CELEBRITIES
Object detectionFace detection
Text detection

18. 18

19. 19
COUNTING CROWDS

20. 20

21. 21
COUNTING PENGUINS

22. 22

23. 23

24. 24
COUNTING COCONUTS

25. 25

26. 26
@kesaritweets
@kesari
INSIGHTS
Extract meaning using
automated patterns
AI & MACHINE
LEARNING
SERVICES
VISUAL
NARRATIVES
STORYTELLING
Creative ThinkingCritical Reasoning
SOFTWARE
THROUGH
SERVWARE: augmenting human
intelligence with technology
Binding visuals together
into a logical story
GRAMENER IS A DATA SCIENCE COMPANY THAT SIMPLIFIES DATA CONSUMPTION
THANK YOU!