https://wiki.devclub.in/index.php?action=history&feed=atom&title=COL775 2026-04-09T07:50:04Z Revision history for this page on the wiki MediaWiki 1.45.1 https://wiki.devclub.in/index.php?title=COL775&diff=605&oldid=prev 2026-03-04T10:00:23Z

<p>Creating course page via bot</p> <p><b>New page</b></p><div>{{Infobox Course<br /> | code = COL775<br /> | name = Deep Learning<br /> | credits = 4<br /> | credit_structure = 3-0-2<br /> | pre_requisites = Any one of ELL 409/ELL 774 / COL 341/ COL<br /> | overlaps = AIL721, APL745<br /> }}<br /> <br /> == COL775 : Deep Learning ==<br /> 333/ COL 671 Basics: Introduction, Why Deep Learning, Multi-layered Perceptron, Neural Networks as Universal Function Approximators, Backpropagation, Regularization, Ll-L2 Norms, Early Stopping, Dropouts. Optimization: Stochastic Gradient Descent, First-order and second order methods, Algorithms such as RMSProp, Adams, AdaGrad. Other Topics on Advanced Optimization. Convolutional Networks (CNNs) - kernels, pooling operations, Applications to Computer Vision. Recurrent Neural Networks, LSTMs, Attention, Transformers, Language models: BERT, GPT2 etc. Applications in NLP. Generative Models: Variational Auto-encoders, Generative Adversarial Networks (GANs). Graph Convolutional Networks, Graph Attention Networks, and variations. Deep Reinforcement Learning - basics of (Deep) RL, More Advanced topics such as visual question answering, Neuro-symbolic reasoning, self-supervised learning, Explainability and Fairness, Domain Adaptation etc.</div>

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