Deep Learning – Module 2

  • December 2, 2021
  • 10:00 AM - 2:00 PM

Deep Learning - Module 2

Dec, 2nd 2021

10:00 AM – 2:00 PM

Deep Learning – Module 2


DEVELOPMENT OF ADVANCED DEEP NEURAL ARCHITECTURE AND EMBEDDED DEPLOYMENT

This workshop is in association with:

Deep Learning is a key technology driving the current Artificial Intelligence (AI) megatrend. You may have heard of some mainstream applications of deep learning, but how many of them would you consider applying to your engineering and science applications?

In this workshop, we will take a deeper dive into designing, customizing, and training and hyperparameter of advanced neural networks. We will show how MATLAB’s deep learning apps can help you edit neural networks, and devise and run experiments. We will give detail workflow on how to customize deep learning training to handle more advanced types of neural networks. Also, once the network is developed, we need to deploy the networks on different platforms and to address that we would talk about automatic code generation and embedded deployment of Deep learning models on embedded or edge devices

Program Objectives

  • Using the Deep Network Designer app to graphically create, edit, and train models.
  • Introducing the extended deep learning framework to customize and train advanced neural networks.
  • Generating realistic synthetic image data with GANs.
  • Implementing generalized research models in MATLAB.
  • Generate C/C++ or CUDA code from deep learning networks as inference engines for NVIDIA GPUs, Intel Xeon CPUs, or ARM Cortex-A processors.

Learning Outcomes

  • Gain knowledge and insight about artificial intelligence and Deep learning as a technology.
  • Learn about MATLAB’s end-to-end workflow from development to deployment for AI applications
  • Capability to use MATLAB for addressing AI challenges around
    • Data Labelling
    • Hyperparameter tuning
    • Embedded deployment

Workshop Schedule

Hands-on Deep Learning virtual workshop for images

To get a hands-on appreciation for Deep Learning with MATLAB, register to attend the free 3-hour Virtual Lab. Learn to solve complex problems related to signals with Deep Learning on MATLAB.

Guided by a team of professional engineers, you will write code using MATLAB Online to:

  • Train deep neural networks on GPUs in the cloud.
  • Create Deep Learning models from scratch for image and signal data.
  • Explore pretrained models and use transfer learning.
  • Import and export models from Python frameworks such as Keras and PyTorch.
  • Automatically generate code for embedded targets.

No installation of MATLAB is necessary. Please make sure you have a strong internet connection to ensure optimal experience.

Who should attend?

Anybody who is

  • working on artificial intelligence/deep learning applications
  • looking forward to exploring artificial intelligence and deep learning as a domain
  • interested to learn about Deep learning and Artificial intelligence using MATLAB

About the Speaker

Dr. Rishu Gupta
Senior application Engineer, MathWorks India.

Dr. Rishu Gupta is a senior application engineer at MathWorks India. He primarily focuses on image processing, computer vision, and deep learning applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. He has published and reviewed papers in multiple peer-reviewed conferences and journals. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi, a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision, and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia with a focus on biomedical image processing for ultrasound images.

Snehanshu Mitra,
HEAD – CoE, DS & ARTIFICIAL INTELLIGENCE

Snehanshu leads the AI initiatives at NASSCOM. He heads the CoE for Data Science & AI – in partnership with Govt of Karnataka and the Telangana AI Mission in partnership with GoTS. He is responsible for creating, nurturing, and scaling up a vibrant AI ecosystem that involves driving AI adoption, accelerating AI startups, leveraging AI for societal good, work with enterprises to co-innovate and promote applied research and AI skilling.

In his two decade long career, Snehanshu has advised enterprises on driving business transformation and delivering impact through data science & AI. His core experience lies in developing strategy, creating & nurturing world-class capabilities, driving innovation, delivering value proposition to global clients, research and managing P&L.

Snehanshu has worked with several organizations across the globe – multinationals, GCCs and startups across sectors such as Technology, Telecom, Hospitality, Retail and Banking. Prior to joining NASSCOM, he was part of Vodafone Shared Services, Zyme, Dell Global Analytics and Accenture.

Madhav Bissa
PROGRAM DIRECTOR

Madhav brings more than 20 years of experience in Strategy Consulting, Research & Analysis and Executive Search.  He has advised Fortune 500 and FTSE 500 and leading Indian organizations on the topics of Corporate Strategy, and M&A. He has worked at global organizations like Arthur D. Little, Heidrick & Struggles and Accenture.  He has been a founder of two start-ups wherein he provided business support services to organizations in the areas of strategy, fund raising, recruitment and documentation.

Madhav is also a visiting faculty at various academic institutions and from time-to-time delivers lectures and workshops on Strategy and Business Analytics.

Currently Madhav works at NASSCOM’s Centre of Excellence for Data Science and Artificial Intelligence as Program Director.  In this role, he helps organizations adopt Data Science and Artificial Intelligence solutions and assists DS&AI startups to connect with investors.

Supriya Samuel
Branding & Marketing Manager – CoE, DATA SCIENCE & AI NASSCOM

Supriya Samuel has more than 14 years of work experience across many profiles in Sales, Branding, Campaign Management, Digital & Product Marketing, Channel Enablement, Event Management and Account Based Marketing.She holds a Client Centricity and an Agile Explorer Badge from IBM and is also a Certified Digital and Product Marketer from Udemy.

During her stint with IBM for more than a decade, she has been a part of the ISA (India-South Asia) Inside Sales and worldwide teams to drive Marketing efforts for the Global Alliances, Industry, Product and the Account based Marketing Teams. She played a crucial role in setting up the MDF process for Pan Europe to leverage the SAP Funds to run demand generation activities and created a new digital experience like Oracle Virtual University for the IBM Sales Teams to help them navigate a wide range of enablement materials. She also drove the end-to-end planning of IBM’s Cloud presence at the world’s premier Banking Event- Sibos in 2018 and was instrumental in conceptualizing the VIP Framework for IBM’s Top Integrated accounts in 2019.

As the Marketing & Branding Manager at NASSCOM – CoE DS&AI, Supriya leads and drives the Integrated communication plan for promotion and dissemination of various NASSCOM’s CoE DS&AI Programs which includes Events, Webinars, Technology workshops and Marketing content to the NASSCOM Teams and the DS&AI ecosystem. At present ,she is spearheading activities such as driving & engaging conversations across various social media handles of CoE DS&AI. She has worked very closely with the Government of Karnataka for the CoE’s participation in Asia’s largest Summit (Bangalore Technology Summit) creating a strong brand presence in the DS&AI ecosystem.

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              Krishna Prabhu,
              TECHNICAL DIRECTOR

              Currently Technical Director at NASSCOM CoE DS & AI, play pivotal role in National initiatives like Open Data Platform, AI HPC Labs, AI – Technical mentoring, help accelerate AI adoption in Industry with initiatives like Innovate to build, Data and AI Policy frameworks

              Over 23 years experience in Leading and delivering Analytics engagements and Solutions across Industries. Played key roles
              Strategizing Analytics Solutions and Leading Advanced Analytics Centre of Excellence. Delivered Advanced Analytics engagements
              in Cognitive, Data Sciences, IoT, Predictive Customer Intelligence (PCI), Predictive Maintenance and Quality (PMQ) across
              Domain areas

              A Senior Data Scientist, AI specialist and practitioner

              Have lead Concept to roll-out of Advanced Analytics solutions for Fortune 500 companies across USA, UK, SE.Asia, Africa

              An alumni of IIM Bangalore specializing in Business Analytics & Intelligence
              Background in Bachelor of Engineering from Bangalore Univ and holds a Diploma in Management & Economics

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                Sudeep Kumar Das,
                PROGRAM MANAGER

                Sudeep with over 17 years of experience in Customer Management, Account Strategy, and Partner Management. Having spent around a decade in technology companies like CISCO & Oracle in business development and customer success roles. Sudeep always had a keen interest in organizational development as a subject and hence took up an Executive PG course on Organisation Development and Change in the famous Tata Institute of Social Sciences.

                Currently, the go-to person for anything on the AI Startup Ecosystem and driving State level Skilling initiatives for the CoE. Driving key initiatives like the Advance Acceleration Program and Faculty Development Program for the CoE

                He is a Go-getter and hustler in chief. Sudeep is an avid swimmer and runner; and believes in the learnings from sports in our daily lives.

                      Advance Acceleration Program







                        Raj Shekhar
                        Lead – Responsible AI KTECH COE Data Science & AI NASSCOM

                        Raj is driving NASSCOM’s efforts at defining a roadmap for an extensive roll-out and adoption of responsible AI in India. Before joining NASSCOM, Raj served as Consultant (Data, AI) at International Innovation Corps (IIC) of The University of Chicago, supporting operations of the Open Data Working Group—an initiative by IDFC Institute and IIC to advance India’s open data aspirations, and IIC’s engagement with the Ministry of Electronics and Information Technology, Government of India—aimed at building capacity for data and AI innovation through policy and program implementation. Raj also is the Founder & Executive Director at AI Policy Exchange, an Affiliate at The Future Society, and sits on the Founding Editorial Board of Springer Nature’s AI and Ethics Journal.

                        Tarun Kumar
                        Consultant – Evangelist, Data Strategist, Knowledge Asset, NASSCOM

                        Tarun is currently leading the Data Strategy Initiatives for CoE – Data Science & AI at NASSCOM. During his 20+ years of work history, he has led multiple teams with a focus on the application of machine learning and cloud-native across various sectors such as Telecom, Digital and GIS & IT.

                        An avid learner, Tarun is passionate about creating an impact on society, environment, corporates and developer communities with the adoption of emerging technologies. He is a B Tech graduate from IIT Mumbai and holds various other certifications as well.

                        Tarun is currently engaged in key COE initiatives like Telangana AI Mission, Responsible AI (RAI), MLOps and AI Pathshala.