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A tutorial on deep learning 2019
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basics2apps's Introduction
Workshop on Deep Learning And Applications
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)
Workshop from February 25 - 27, 2019