1. IMSS Tech Talk
AI- Deep Learning
Sathish PV

2. 22
Identify the Patterns?
• 1, 2, 2, 3, 3, 3, 4, 4, 4, 4 ?
• 5,5,5,5,5
• 2, 3, 3, 5, 5, 5, 7, 7, 7, 7 ?
• 9,9,9,9,9
• 1, 3, 6, 10, 15, 21 ?
• 28

3. 33
Artificial Intellegince Ecosystem

4. 44
What is Deep Learning?
What is it?
• A method of extracting features at multiple levels of abstraction
– Features are discovered from data
– Performance improves with more data
– High Degree of representational power.
• Represents models that have multiple layers of non-linear
transformations
• It is the power to interpret sensory data- sound, images and video.

5. 55
Biological Neuron

6. 6 © Happiest Minds – Confidential
Simple Neural Network Architecture

7. 77
Additional Information

8. 88
Deep Learning Model Architectures
ImageAnalysis
Model time
and sequence
(Financial Time
Series Data)
FindFeaturesfromData
withoutknowingwhat
thecomesare.

9. 99
MLP and CNN - Compare

10. 10 © Happiest Minds – Confidential
Rich Feature Representation (CNN)

11. 1111
Deep Learning Workflow

12. 12 © Happiest Minds – Confidential
Linear and Non-Linear Classification
Linear Classification Non-Linear Classification

13. 1313
Tech Giants Investing in AI Applications
• Facebook – Facial Recognition technology
• Google- Deep Minds (Mimic human brain to
recognize patterns.
• Microsoft- Emotion detection services
• Salesforce- Automate customer support and
marketing.
• Shell-Virtual Assistant to answer customer
queries
• Apple-Speech Recognition AI
• IBM Watson- Cognitive intelligence
• Skype- Speech Translation
Many more including start-ups

14. 1414
Image Retrieval – Use Case

15. 1515
Additional Information
• http://cs231n.github.io/convolutional-networks/
• https://www.youtube.com/watch?v=uD1CdjlrTBM
• https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x
• http://www.analyticsvidhya.com/blog/2016/04/deep-learning-computer-vision-introduction-
convolution-neural-networks/

16. Thank you!