IMSS Tech Talk

AI- Deep LearningSathish PV

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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

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Artificial Intellegince Ecosystem

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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.

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Biological Neuron

6 © Happiest Minds – Confidential

Simple Neural Network Architecture

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Additional Information

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Deep Learning Model ArchitecturesIm

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MLP and CNN - Compare

10 © Happiest Minds – Confidential

Rich Feature Representation (CNN)

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Deep Learning Workflow

12 © Happiest Minds – Confidential

Linear and Non-Linear Classification

Linear Classification Non-Linear Classification

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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

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Image Retrieval – Use Case

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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/

Thank you!