Connectionists: Fwd: Winter School on Deep Learning From Perceptrons to Transformers Organized by The Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata

[Sandip Paul]

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Winter School on Deep Learning: From Perceptrons to Transformers
21st January - 12th March 2022 (Fridays and Saturdays)
Electronics and Communication Sciences Unit
Indian Statistical Institute, Kolkata

Important Dates:

Submit Application on Website             Dec 28, 2021 – Jan 12, 2022

Notification to Selected Applicants                                 Jan 13,
2022

Registration                                                     Jan 14 –
Jan 17, 2022

Course Duration                                             Jan 21 – Mar
12, 2022

Call for Participation

The Objective: The Electronics and Communication Sciences Unit, Indian
Statistical Institute, Kolkata is organizing the Winter School on Deep
Learning: From Perceptrons to Transformers. This winter school will focus
heavily on imparting hands-on experience towards developing a wide range of
classical and advanced deep learning models, in addition to making the
associated theory easy to understand. Participants will learn from the
basics of machine learning to the advanced deep learning-based approaches
with application to Computer Vision and Natural Language Processing.
Theoretical lectures will be delivered by renowned professors and
scientists (from the Indian Statistical Institute and other esteemed
organizations) who have made significant contributions in their areas of
research. The lectures will be supplemented by extremely detailed hands-on
sessions instructed by post-docs and research scholars.

Course coverage: The winter school will have the following course structure
(theory and associated hands-on)

Basics of Python
Basics of the Deep Learning Library: PyTorch
Essentials of Vector Calculus and Linear Algebra for Machine Learning
Conceptual Fundamentals of Machine Learning, Image Processing, Computer
Vision, Natural Language Processing
Perceptrons and Backpropagation
Ingredients of Deep Learning: Gradient Descent, Batch Normalization,
Regularization, Dropout
Convolutional Neural Networks (CNN), Convolutional Autoencoders
CNN for Object Classification, Detection, and Segmentation
Recurrent Neural Network, LSTM, Word Embedding
Attention Models and Transformer (BERT and Visual Transformer)
Deep Generative Models (GAN and VAE)
Weakly Supervised Deep Learning, Self-Supervised Learning
Meta-Learning and Few-Shot Learning
Deep Reinforcement Learning
Explainable Artificial Intelligence
Geometric Deep Learning

Mode of tutorials: Lectures and Hands-on sessions will be conducted in
online mode only. All sessions will be on Fridays and Saturdays, and the
recordings will be shared with all the participants.

Who can apply?
Professionals from academia and industry, research/project scholars,
masters and final-year bachelors students. Interested candidates must
submit an online application. Selected applicants will be informed to
register for the school.

For application, registration fees and other details:
www.sites.google.com/view/wsdl2022/

--
Electronics and Communication Sciences Unit
Indian Statistical Institute
203 B T Road
Kolkata 700108
Email: wsdl2022 at isical.ac.in
Web: Winter School <https://mail.isical.ac.in/~ecsu/?q=node/106>
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