Jul 2016
27 Mon
28 Tue
29 Wed
30 Thu
1 Fri 08:45 AM – 06:15 PM IST
2 Sat 08:15 AM – 02:15 PM IST
3 Sun
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.
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:
We are inviting proposals for:
Proposals will be filtered and shortlisted by an Editorial Panel. Along with your proposal, you must share the following details:
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).
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.
##Venue
CMR Institute of Technology, Bangalore
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
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Submitted Apr 29, 2016
This workshop will provide an introduction to deep learning for natural language processing (NLP). It will cover some of the common deep learning architectures, describe advantages and concerns, and provide hands-on experience.
We would cover the following:
Broadly, there will be three hands-on modules
Laptop with python packages installed.
pip install keras
Nischal is co founder and Data Engineer at Unnati Data Labs who enables the Data Scientists to work at peace. He makes sure that they get the data they need and in the way they need it. Previously he has built, from scratch, various systems for E-commerce like catalog management, recommendation engines and other systems that amass a lot of data, during his tenure at Redmart.
At SAP Labs, Nischal has built various data crawlers, intention mining systems and laid down initial work on an end to end Text Mining/Analysis Pipeline. The majority of his work, however, was centered around building a system that gamified technical indicators in a product for the Fintech domain.
He has conducted workshops in the field of Deep learning across the world. He is a strong believer of open source and loves to architect big, fast and reliable systems. In his free time, he enjoys psychedelic trance and travelling to remote places.
Raghotham is a Data Scientist who can work across the complete stack. Previously, at Touchpoints Inc., He single handedly built a data analytics platform for a fitness wearable company. With Redmart, he worked on the CRM system and has built a sentinment analyzer for Redmart’s Social Media. Prior to Redmart and Touchpoints, Raghotham worked at SAP Labs where he was a core part of what is currently SAP’s framework for building web and mobile products. He was a part of multiple SAP wide events helping to spread the knowledge both internally and to customers.
Having found deep love for data science, neural networks and the passion for teaching, Raghotham has conducted workshops across the world. Apart from getting his hands dirty with data, he loves travelling, Pink Floyd and masala dosas.
https://speakerdeck.com/unnati_xyz/introduction-to-deep-learning-for-nlp
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