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DSC-845
MS

Deep Learning

(DE) Domain Elective Theory: 3 Cr. Hrs Total: 3 Cr. Hrs
Review of Neural Networks, activation functions & back-propagation; multilayer neural nets, deep networks, learning algorithms, Convolutional Neural Networks: History, Convolution, Pooling, CNNs for classification, CNN Architectures; Sequence Modeling: Recurrent and Recursive Nets: Long-Short Term Memory models and variants, Language modeling and image captioning, Unsupervised learning: Restricted Boltzmann Machines and Auto-encoders; Case Studies.
In Programmes
MS MS (Data Science)
Electives Pool — Elective (Current Scheme)
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