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)