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DevConf.IN'19 has ended
DevConf.IN is the annual Developer’s Conference organized by Red Hat, India. The event provides a platform to the FOSS community participants and enthusiasts to come together and engage in knowledge sharing activities through technical talks, workshops, panel discussions, hackathons and much more.

All you have to do is a FREE registration here. There is no admission or ticket charges applicable to be a part of the event. All the event activities will be in English.

We are committed to foster an open and welcoming environment for everyone at our conference. We have our inclusive code of conduct and media policies, which we expect to be duly adhered during the event.

When: August 2-3, 2019

Venue: Christ University - Bengaluru, India

Click here for more updates about DevConf.

Registration Link: https://devconfin19.eventbrite.com

Last Date of Registration: 31st July, 2019

We request you to mark the talks you’re interested to help save time.
Friday, August 2 • 10:15am - 11:15am
The Practical Effectiveness of Deep Learning

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With the advent of better compute and big data, enterprises are looking at leveraging the latest and the best techniques in artificial intelligence, or to be more specific deep learning. The effectiveness of deep neural networks has been widespread in solving diverse problems across the industry, thanks to open-source tools like tensorflow & keras.

We'll cover deep learning basics, deep neural network architectures, popular open-source tools and talk about some real-world case studies in the industry which are being solved using deep learning. This is not intended to be a theoretical lecture about neural networks but more of a practical session talking about applied deep learning techniques and case-studies in the industry.

Session Outline:
  1. Introduction
  2. Deep Learning Basics
  3. Deep Learning Effectiveness
  4. Deep Learning Frameworks
  5. Deep Learning Model Architectures
  6. Case Studies

Case Studies:
  • Predicting Data Center Device Failures
  • Pro-active Incident Resolution
  • Malaria Detection (includes hands-on code walkthrough)
  • Pro-active Security Vulnerability Detection for golang-Kubernetes-OpenShift eco-system (includes hands-on code walkthrough)

We will showcase the hands-on code walkthrough using Jupyter notebooks which you can re-use from my GitHub in the future. Code will be in tensorflow \ keras.



Speakers
avatar for Dipanjan Sarkar

Dipanjan Sarkar

Data Scientist, Red Hat
Dipanjan (DJ) Sarkar is a Data Scientist at Red Hat, a published author and a consultant & trainer. He has consulted & worked with several startups and Fortune 500 companies. He primarily works on leveraging data science, machine learning and deep learning to build large- scale intelligent... Read More →