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IDLI India Deep Learning Initiative
Online session of IDLI
Online session by IDLI
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Opinionated GANs by Nishant Sinha - June 24 at 09:30 PM IST Richard Feynman said “What I cannot create, I do not understand”. Given a domain of ob... Read more 22 Feb 2017 - less than 1 minute read
If you have a question about Deep learning such as: What is Deep Learning? What I must know to start work in Deep Learning? What are the basic algorithm in Deep Learning? Why Deep Learning so important? Where I can use Deep Learning? What is the future of Deep Learning? Then this introduction video by [Dr. Jacob minz]( https://w... Read more 11 Feb 2017 - less than 1 minute read
Introduction to Image Classification using Keras Keras is a minimalisitc Python Deep Learning library that works on top of TensorFlow or Theano. It helps to quickly prototype Deep Learning models, and works seamlessly with both CPUs and GPUs. In this talk you will learn about how to build a simple image classification model using Keras. This i... Read more 18 Feb 2017 - less than 1 minute read
GoogleNet Overview Advance: Auro Tripathy will explain how GoogleLeNet architecture works and how it was made computationaly efficient compared to previous ImageNet winner AlexNet. It introduced Inception module and used 1x1 convolution for reducing computing complexity. This session will be at advanced level. Auro Tripathy founded ShatterLi... Read more 25 Feb 2017 - less than 1 minute read
Linear Algebra basic for Deep Learning - By Prof. Arjit Mondal - Saturday, March 4 at 7:30 AM PST Linear Algebra is the crux of Deep Learning. A good understanding of linear algebra is essential for understanding and working with many machine learning algorithms, especially deep learning algorithms. This session will cover Linear Algebra basics... Read more 04 Mar 2017 - less than 1 minute read
Evolution of convolutional neural networks for image recognition - By Prof. Amit Sethi Deep learning frameworks, such as convolutional neural networks (CNNs), have almost completely replaced other machine learning techniques for specific tasks such as image recognition using large training datasets. In this webinar, we will go over how CNNs, th... Read more 11 Mar 2017 - less than 1 minute read
Almost all current day DL work happens using Deep Learning frameworks. With so many around, it can get confusing what they are all trying to do. In this talk, I will be discussing how these frameworks work under the hood, how they all use the same concepts and how you could roll your own framework if you desire. I will be covering both high-leve... Read more 18 Mar 2017 - less than 1 minute read
Deep Learning for Speech Recognition by Dr. Sunayana Sitaram - Saturday, March 25 at 7:30 AM PST We have recently seen a couple of breakthroughs in speech recognition – Microsoft’s systems have reached human parity in transcribing speech and Baidu’s system is said to be 3 times faster than human transcription for typing text messages, and just ... Read more 25 Mar 2017 - less than 1 minute read
Computational Pathology: An Introduction - Saturday, April 1 at 9:00 PM IST A talk on computational Pathology by Dr Neeraj Kumar Vaid. He completed his PhD from IIT Guwahati and is currently a visting fellow at Beckman Institute for Advanced Science and Technology. Below is the video on online session: Link of online session : click here! Read more 01 Apr 2017 - less than 1 minute read
Computer Vision for Face Recognition By - Dr. Satya Mallick - Saturday, April 8 at 10:00 PM IST Dr. Satya Mallick is the founder of Big Vision LLC, a San Diego, California based company that specializes in computer vision, machine learning, deep learning and artificial intelligence consulting services and products. He is also the principal auth... Read more 08 Apr 2017 - less than 1 minute read
Computer Vision for Face Recognition By - Dr. Satya Mallick Dr. Monojit Choudhury is a researcher in Microsoft Research Lab India. He holds a B.Tech and a PhD degree in Computer Science and Engineering from IIT Kharagpur. Monojit’s research interest lies in the intersection of cognition and computation. He has been working on various aspects of... Read more 15 Apr 2017 - less than 1 minute read
How CNNs Localize Objects with Improving Precision and Speed by Auro Tripathy - Saturday, April 22 at 09:00 PM IST Locating objects in images (a.k.a., detection) quickly and efficiently enables object tracking and counting applications on embedded visual sensors (fixed and mobile). By 2012, progress on techniques for detecting objects in images... Read more 22 Apr 2017 - less than 1 minute read
An Introduction to Reinforcement Learning the doors to AGI By Anirban Santara - Saturday, April 29 at 09:00 PM IST Reinforcement Learning (RL) is a genre of Machine Learning in which an agent learns to choose optimal actions in different states in order to reach its specified goal, solely by interacting with the environment through trial and er... Read more 29 Apr 2017 - less than 1 minute read
Fenil Doshi and his team from SRM Nexttech lab developed a model to predict powertheft to win 1st prize in Smart India Hackathon. In this session, they will give an overview about their Nexttech lab, their motivation to work on powertheft problem, their dataset, their approach and their results. Below is the video of online session lecture... Read more 06 May 2017 - less than 1 minute read
DeepLearning as OCR for decoding Indus Valley Manuscripts By Satish Palaniappan - Saturday, May 13 at 09:00 PM IST Of all the ancient inscriptions, the Indus script has long challenged epigraphists, inspite of the various advances in computing, computational epigraphy has not yet been applied to its fullest potential. The main bottleneck here i... Read more 13 May 2017 - less than 1 minute read
The goal of this talk is to showcase the results of a recently conducted data-driven study aimed at identifying trends in ongoing research at Indian universities and companies in the areas of AI, ML and DL. To put this in a global perspective, the data will be compared with their international counterparts and some surprising differences will b... Read more 20 May 2017 - less than 1 minute read
Adapting Deep Neural Networks between Domains: from computed retinal angiography to digital pathology to surgical informatics The challenge of trying to use a deep neural network trained on one domain for an application in another domain is quite well known to us, and the challenges are quite intriguing. Most of us have tried using ImageNet per... Read more 04 Jun 2017 - less than 1 minute read
A Brief Introduction to Game Theory and Mechanism Design - By Arpita Biswas - June 10 at 09:30 PM IST Game theory can be defined as the “mathematical framework for rigorous study of conflict and cooperation among rational and intelligent agents”. It provides general mathematical techniques for analyzing situations where two or more agents make ... Read more 10 Jun 2017 - less than 1 minute read
Opinionated GANs by Nishant Sinha Richard Feynman said “What I cannot create, I do not understand”. Given a domain of objects, say images, generative models try to ‘understand’ the domain well enough to be able to ‘create’ different objects from the domain, on their own or based on instructions. Generative adversarial networks (GANs) are the cu... Read more 24 Jul 2017 - less than 1 minute read