Track Chair | |
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Prof. Priyanka Kumar |
Sno | Tracks |
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1 | Deep Neural Networks Optimization Algorithms |
2 | Deep Feedforward Networks |
3 | Regularization |
4 | Deep Convolutional Neural Networks |
5 | Deep Recurrent Neural Networks |
6 | Sequence Modelling |
7 | Deep Generative Models |
8 | Generative Adversarial Networks |
9 | Inference Dependencies on Multi-Layered Networks |
10 | Tensors for Deep Learning |
11 | Multi Scale Deep Architecture and Learning |