<div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr"><br></div><br><div dir="ltr"><div style="text-align:center">** Please ignore if you received multiple copies and cross-posting of this mail</div><div style="text-align:center"><br></div><div style="text-align:center">** Kindly Circulate this mail to the suitable audience</div><div style="text-align:center"><br></div><div style="text-align:center">Winter School on Deep Learning: From Perceptrons to Transformers</div><div style="text-align:center">21st January - 12th March 2022 (Fridays and Saturdays)</div><div style="text-align:center">Electronics and Communication Sciences Unit</div><div style="text-align:center">Indian Statistical Institute, Kolkata</div><div style="text-align:center"><br></div><div style="text-align:center">Important Dates:</div><div style="text-align:center"><br></div><div style="text-align:center">Submit Application on Website Dec 28, 2021 – Jan 12, 2022</div><div style="text-align:center"><br></div><div style="text-align:center">Notification to Selected Applicants Jan 13, 2022</div><div style="text-align:center"><br></div><div style="text-align:center">Registration Jan 14 – Jan 17, 2022</div><div style="text-align:center"><br></div><div style="text-align:center">Course Duration Jan 21 – Mar 12, 2022</div><div style="text-align:center"><br></div><div style="text-align:center">Call for Participation</div><div style="text-align:center"><br></div><div style="text-align:center">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.</div><div style="text-align:center"><br></div><div style="text-align:center">Course coverage: The winter school will have the following course structure (theory and associated hands-on)</div><div style="text-align:center"><br></div><div style="text-align:center">Basics of Python</div><div style="text-align:center">Basics of the Deep Learning Library: PyTorch</div><div style="text-align:center">Essentials of Vector Calculus and Linear Algebra for Machine Learning</div><div style="text-align:center">Conceptual Fundamentals of Machine Learning, Image Processing, Computer Vision, Natural Language Processing</div><div style="text-align:center">Perceptrons and Backpropagation</div><div style="text-align:center">Ingredients of Deep Learning: Gradient Descent, Batch Normalization, Regularization, Dropout</div><div style="text-align:center">Convolutional Neural Networks (CNN), Convolutional Autoencoders</div><div style="text-align:center">CNN for Object Classification, Detection, and Segmentation</div><div style="text-align:center">Recurrent Neural Network, LSTM, Word Embedding</div><div style="text-align:center">Attention Models and Transformer (BERT and Visual Transformer)</div><div style="text-align:center">Deep Generative Models (GAN and VAE)</div><div style="text-align:center">Weakly Supervised Deep Learning, Self-Supervised Learning</div><div style="text-align:center">Meta-Learning and Few-Shot Learning</div><div style="text-align:center">Deep Reinforcement Learning</div><div style="text-align:center">Explainable Artificial Intelligence</div><div style="text-align:center">Geometric Deep Learning</div><div style="text-align:center"><br></div><div style="text-align:center">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.</div><div style="text-align:center"><br></div><div style="text-align:center">Who can apply?</div><div style="text-align:center">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.</div><div style="text-align:center"><br></div><div style="text-align:center">For application, registration fees and other details: <a href="http://www.sites.google.com/view/wsdl2022/" target="_blank">www.sites.google.com/view/wsdl2022/</a></div><div style="text-align:center"><br></div><div style="text-align:left">--</div><div dir="ltr" data-smartmail="gmail_signature"><div dir="ltr"><div style="text-align:left"><span style="color:rgb(136,136,136)">Electronics and Communication Sciences Unit</span></div><font color="#888888"><div style="text-align:left">Indian Statistical Institute</div><div style="text-align:left">203 B T Road</div></font><div style="text-align:left"><font color="#888888">Kolkata 700108<br></font></div><div style="text-align:left"><font color="#888888">Email:<a href="mailto:wsdl2022@isical.ac.in" target="_blank"> wsdl2022@isical.ac.in</a></font></div><font color="#888888"><div style="text-align:left"><font color="#888888">Web: <a href="https://mail.isical.ac.in/~ecsu/?q=node/106" target="_blank">Winter School</a></font> </div></font></div><div dir="ltr" style="text-align:left"><font color="#888888"><br></font></div></div></div>
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