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The Fifth Elephant

Deep Learning Conf 2016

A conference on deep learning.

Deep Learning is a new area of research that is getting us closer in achieving one of the primary objectives of Machine Learning – Artificial Intelligence.
It is used widely in the fields of Image Recognition, Natural Language Processing (NLP) and Video Classification.

Format

Deep Learning Conf is a single day conference followed by workshops on the second day. The conference will have full, crisp and lightning talks from morning to evening. The workshops on the next day will introduce participants to neural networks followed by two tracks of three-hour workshops on NLP and Computer Vision / AI. Participants can join either one of the two workshop tracks.

Tracks

We are looking for talks and workshops from academics and practitioners of Deep Learning on the following topics:

  • Applications of Deep Learning in software.
  • Applications of Deep Learning in hardware.
  • Conceptual talks and cutting edge research on Deep Learning.
  • Building businesses with Deep Learning at the core.

We are inviting proposals for:

  • Full-length 40 minute talks.
  • Crisp 15-minute talks.
  • Lightning talks of 5 mins duration.

Selection process

Proposals will be filtered and shortlisted by an Editorial Panel. Along with your proposal, you must share the following details:

  • Links to videos / slide decks when submitting proposals. This will help us understand your past speaking experience.
  • Blog posts you may have written related to your proposal.
  • Outline of your proposed talk – either in the form of a mind map or a text document or draft slides.

If your proposal involves speaking about a library / tool / software that you intend to open source in future, the proposal will be considered only when the library / tool / software in question is made open source.

We will notify you about the status of your proposal within two-three weeks of submission.

Selected speakers have to participate in one-two rounds of rehearsals before the conference. This is mandatory and helps you prepare for speaking at the conference.

There is only one speaker per session. Entry is free for selected speakers. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. HasGeek will provide a grant to cover part of your travel and accommodation in Bangalore. Grants are limited and made available to speakers delivering full sessions (40 minutes or longer).

Commitment to open source

HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), please consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.

Key dates and deadlines

  • Proposal submission deadline: 31 May 2016
  • Schedule announcement: 15 June 2016
  • Conference dates: 1 July 2016

Venue

CMR Institute of Technology, Bangalore

Contact

For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.

Hosted by

The Fifth Elephant
The Fifth Elephant
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Deep Learning for Computer Vision

Deep Learning for Computer Vision

Anand Chandrasekaran

1 hour 5 July 2016
Expresso - A user-friendly tool for Deep Learning

Expresso - A user-friendly tool for Deep Learning

Jaley Dholakiya, IISc

15 minutes 5 July 2016
Making Deep Neural Networks smaller and faster

Making Deep Neural Networks smaller and faster

Suraj Srinivas, IISc

20 minutes 5 July 2016
Challenges & Implications of Deep Learning in Healthcare

Challenges & Implications of Deep Learning in Healthcare

Suthirth Vaidya, Predible Health

25 minutes 5 July 2016
Deep learning for computational pathology

Deep learning for computational pathology

Neeraj Kumar, IIT Guwahati

36 minutes 5 July 2016
Slot-Filling in Conversations with Deep Learning

Slot-Filling in Conversations with Deep Learning

Nishant Sinha, MagicX

21 minutes 5 July 2016
Deep Dive Into Building Chat-bots Using Deep Learning

Deep Dive Into Building Chat-bots Using Deep Learning

Vijay Gabale, Infilect

36 minutes 5 July 2016
Sponsored session: Recent advancements in Deep Learning techniques using GPUs.

Sponsored session: Recent advancements in Deep Learning techniques using GPUs.

Sundara R Nagalingam, NVIDIA

38 minutes 5 July 2016
Residual Learning and Stochastic Depth in Deep Neural Networks

Residual Learning and Stochastic Depth in Deep Neural Networks

Pradyumna Reddy, @WaltmartLabs

8 minutes 5 July 2016
Applied Deep Learning

Applied Deep Learning

Abhishek Thakur, Searchmetrics Inc

45 minutes 5 July 2016
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

Arjun Jain, Perceptive Code

20 minutes 5 July 2016

Hosted by

The Fifth Elephant
The Fifth Elephant
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more