Friday 1 July 2016
Auditorium
Mechanical Engg Classroom 1st Floor
Mechanical Engg Classroom 4th Floor
Classroom
Room 1
Room 2
08:45–09:20
Check-in and breakfast
09:20–09:30
Introduction to the conference and team
09:30–10:30
Deep learning: A convoluted overview with recurrent themes and beliefs.
Anand Chandrasekaran, Mad Street Den
10:30–11:15
Sponsored session: Recent advancements in Deep Learning techniques using GPUs.
Sundara R Nagalingam, NVIDIA
11:15–11:45
Morning tea break
11:45–12:30
Applied Deep Learning
Abhishek Thakur, Searchmetrics Inc
12:30–12:50
Residual Learning and Stochastic Depth in Deep Neural Networks
Pradyumna Reddy, @WaltmartLabs
12:50–13:10
Expresso - A user-friendly tool for Deep Learning
Jaley Dholakiya, IISc
13:10–14:10
Lunch
14:10–14:30
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Arjun Jain, Perceptive Code
14:30–15:15
Deep Dive Into Building Chat-bots Using Deep Learning
Vijay Gabale, Infilect
15:15–16:00
Deep learning for computational pathology
Neeraj Kumar, IIT Guwahati
15:15–16:00
BoF - Getting Started with Deep Learning
Bargava S., Sumod Mohan, Raghotham S., Nischal HP, Abhishek Thakur
16:00–16:30
Evening tea break
16:30–16:50
Slot-Filling in Conversations with Deep Learning
Nishant Sinha, MagicX
16:50–17:35
Challenges & Implications of Deep Learning in Healthcare
Suthirth Vaidya, Predible Health
16:50–17:35
BoF: Building Chat Bots
Vijay Gabale, Nishant Sinha, Nischal HP
17:35–17:55
Making Deep Neural Networks smaller and faster
Suraj Srinivas, IISc
17:55–18:15
Closing remarks and feedback
Bargava S, Zainab Bawa
Saturday 2 July 2016
Auditorium
Mechanical Engg Classroom 1st Floor
Mechanical Engg Classroom 4th Floor
Classroom
Room 1
Room 2
08:15–09:00
Check-in and Breakfast
09:00–11:00
Deep Learning for Computer Vision
Anand Chandrasekaran
09:00–11:00
Introduction to Deep Learning for Natural Language Processing
Nischal HP
11:00–11:15
Tea Break
11:15–13:15
Deep Learning for Computer Vision contd.
11:15–12:45
Introduction to Deep Learning for Natural Language Processing contd.
12:45–13:15
Lunch
13:15–14:15
Lunch