Anthill Inside 2018
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
##About the conference and topics for submitting talks:
In 2016, The Fifth Elephant branched into a separate conference on Deep Learning. The Deep Learning Conference has grown in to a large community under the brand Anthill Inside.
Anthill Inside features talks, panels and Off The Record (OTR) sessions on current research, technologies and developments around Artificial Intelligence (AI) and Deep Learning. Submit proposals for talks and workshops on the following topics:
##Perks for submitting proposals:
Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer, and a t-shirt.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.
In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.
##Target audience:
We invite beginner and advanced participants from:
to participate in Anthill Inside. At the 2018 edition, tracks will be curated separately for beginner and advanced audiences.
Developer evangelists from organizations which want developers to use their APIs and technologies for deep learning and AI should participate, speak and/or sponsor Anthill Inside.
##Format:
Anthill Inside is a two-day conference with two tracks on each day. Track details will be announced with a draft schedule in February 2018.
We are accepting sessions with the following formats:
##Selection criteria:
The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:
The criteria for selecting proposals, in the order of importance, are:
No one submits the perfect proposal in the first instance. We therefore encourage you to:
Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.
##How to submit a proposal (and increase your chances of getting selected):
The following guidelines will help you in submitting a proposal:
To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.
##Passes and honorarium for speakers:
We pay an honararium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.
##Travel grants for outstation speakers:
Travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. Anthill Inside is funded through ticket purchases and sponsorships; travel grant budgets vary.
##Last date for submitting proposals is: 15 April 2018.
You must submit the following details along with your proposal, or within 10 days of submission:
##Contact details:
For information about the conference, sponsorships and tickets contact support@hasgeek.com or call 7676332020. For queries on talk submissions, write to anthillinside.editorial@hasgeek.com
Hosted by
Amit Kapoor
@amitkaps
Submitted Jun 28, 2018
We showcase three live-demos of doing deep learning (DL) in the browser - for building explorable explanations to aid insight, for building model inference applications and even, for rapid prototyping and training ML model - using the emerging client-side Javascript libraries for DL.
The browser is the most common end-point consumption of Deep learning models. It is also the most ubiquitous platform for programming available. The maturity of the client-side JavaScript ecosystem across the deep learning process e.g. dataframe support (arrow.js), WebGl accelerated learning frameworks (deeplearn.js), declarative interactive visualisation (vega-lite.js), have made it easy to start playing with Deep Learning in the browser.
This talk is designed in the “Show, not Tell” format. We will focus on showcasing three particular use case (live-demos) where deep learning models can be used for explanations, inference and training on the browser directly. The demos will also show the application from three different types of data - tabular, text and image.
Explorable Explanations: Explaining the DL model and allowing the users to build intuition on the model helps in generating insight. We showcase an explorable explanation for loan default DL model, which allows the user to explore the feature space and threshold boundaries using interactive visualisations to drive decision making.
Model Inference: Inference is the most common use case and the browser allows you to ‘bring your DL model to the data’. It also allows you test how the model works, when executed on the edge. We showcase an comments sentiment application in the browser, which can identify and warn about the toxicity of the comments as you type in a text box.
Rapid Prototyping: Training of DL models is now possible in the browser itself, if done smartly. We showcase a rapid prototyping image classification example which allows the user to play with transfer learning to build a model specific for a user-generated image input.
We will end the talk on how we see the ecosystems of tools for DL in the browser emerging and making it easy for everyone to start doing this.
For those more curious about how all these demos will actually happen, we will be leveraging the following newer libraries (and some traditional ones like d3.js) in javascript.
The working demos will be available on the web and open-source code on Github. An initial draft of the slides is attached.
Amit Kapoor teaches the craft of telling visual stories with data. He conducts workshops and trainings on Data Science in Python, R and Javascript, as well as on Data Visualisation topics. His background is in strategy consulting having worked with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad. You can find more about him at http://amitkaps.com/ and tweet him at @amitkaps.
https://speakerdeck.com/amitkaps/deep-learning-in-the-browser
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
Hosted by
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