Workshop on Deep Learning And Applications

Schedule

Day 1 (February 25, 2019) @IIT Bombay Venue: SIC-301, KReSIT
09:00am - 10:00am	Keynote	History, applications and the current state-of-the-art for ML/DL based algorithms	Abhishek Sharma (CTO Gobasco)
10:00am - 10:45am	Lecture-1	Introduction to Machine Learning: Why data driven, K-NN model on CIFAR 10 (non-parametric), parametric model, introducing the concept of loss functions using cross entropy for classification and MSE for regression.	Prof. Arjun Jain
10:45am - 11:00am	Tea
11:00am - 12:00am	Lecture-2	Introduction to Deep Learning: Neural Networks (MLPs), feed forward, gradient descent (vanilla, stochastic and batch), back-propagation, good learning rate, learning rate decay	Prof. Arjun Jain, Prof. Sharat Chandran
12:00pm - 01:00pm	Lecture-3	CNNs: Convolutions: transposed, dilated, fully-connected as convolution, sliding window as convolution	Prof. Arjun Jain, Prof. Sharat Chandran
01:00pm - 02:00pm	Lunch Break
02:00pm - 04:30pm	Laboratory - 1 (with individual GPUs)

Day 2 (February 26, 2019) @IIT Bombay Venue: SIC-301, KReSIT
09:00am - 09:45am	Lecture-4	Babysitting the learning process: Hyperparamter selection, weight initialization, how to start with a simple neural network, how to choose a good architecture suited for the problem and dataset size, start by overfitting on your batch, etc.	Prof. Arjun Jain
09:45pm - 10:45pm	Application-1	CNN Applications and Case studies for ImageNet:Alexnet, Resnet, GoogleNet, VGGNet, etc.	Prof. Arjun Jain
10:45am - 11:00am	Tea
11:00am - 12:00pm	Application-2	Visual Question & Answering	Samarth (IBM Research)
12:00pm - 01:00pm	Lecture-5	Generative Adversarial Networks(GANs) and Variational Auto Encoders(VAEs)	Prof. Siddhartha Chaudhuri
01:00pm - 02:00pm	Lunch Break
02:00pm - 04:30pm	Laboratory- 2 (with individual GPUs)

Day 3 (February 27, 2019) @IIT Bombay Venue: 109 New CC/CSE Bldg, First floor
09:00am - 10:00am	Lecture-6	Sequence Models: Recurrent Neural Networks for sequence Modeling.	Prof. Sunita Sarawagi
10:00am - 10:45am	Application-3	Deep Reinforcement Learning	Prof. Shivaram Kalyanakrishnan
10:45am - 11:00am	Tea
11:00am - 12:00pm	Application-4	CNNs for meshes, surfaces, etc.	Prof. Siddhartha Chaudhuri
12:00pm - 01:00pm	Application-5	Deep Learning for Virtual Reality	Prof. Parag Chaudhuri
01:00pm - 02:00pm	Lunch Break
02:00pm - 04:30pm	Laboratory- 3 (with individual GPUs)