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courses:2018:cs551 [2018/01/10 09:52]
arijit [Slides] |
courses:2018:cs551 [2018/04/04 09:08] (current)
arijit [Slides] |
| =====Slides===== | =====Slides===== |
| * {{ :courses:2018:cs551:01_intro_to_dl.pdf |Introduction to Deep Learning}} | * {{ :courses:2018:cs551:01_intro_to_dl.pdf |Introduction to Deep Learning}} |
| | * {{ :courses:2018:cs551:02_linear_algebra.pdf | Overview of Linear Algebra & Probability}} |
| | * {{ :courses:2018:cs551:03_feature_engg.pdf | Feature Engineering}} |
| | * {{ :courses:2018:cs551:04_neural_network.pdf | Neural Network}} |
| | * {{ :courses:2018:cs551:keras.pdf |Demonstration of Keras}}, {{ :courses:2018:cs551:installationguidekerastensorflow.txt |Installation guide for Keras}} - Presented by Niraj |
| | * {{ :courses:2018:cs551:05_dl_network.pdf |DNN}} |
| | * {{ :courses:2018:cs551:06_regularization.pdf |Regularization}} |
| | * {{ :courses:2018:cs551:07_optimization.pdf |Optimization}} |
| | * {{ :courses:2018:cs551:08_cnn.pdf |CNN}} |
| | * {{ :courses:2018:cs551:09_rnn.pdf |RNN}} |
| | * {{ :courses:2018:cs551:11_drl.pdf |Deep Reinforcement Learning}} |
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| =====Additional Reading Materials===== | =====Additional Reading Materials===== |
| * {{:courses:2017:matrixcalculus.pdf|Matrix differentiation}} by Randal J. Barnes, Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota, USA | * {{:courses:2017:matrixcalculus.pdf|Matrix differentiation}} by Randal J. Barnes, Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota, USA |
| | * [[http://www.visiondummy.com/2014/04/geometric-interpretation-covariance-matrix|A geometric interpretation of the covariance matrix]] |
| * [[http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html|Deep Learning, Nature]] | * [[http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html|Deep Learning, Nature]] |
| * [[http://ieeexplore.ieee.org/abstract/document/485891/ | Artificial Neural Networks: A tutorial]] | * [[http://ieeexplore.ieee.org/abstract/document/485891/ | Artificial Neural Networks: A tutorial]] |
| * [[http://karpathy.github.io/2015/05/21/rnn-effectiveness/ | Andrej Karpathy blog]] | * [[http://karpathy.github.io/2015/05/21/rnn-effectiveness/ | Andrej Karpathy blog]] |
| * [[https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/ | Blog on LSTM-RNN]] | * [[https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/ | Blog on LSTM-RNN]] |
| | * [[ftp://ftp.sas.com/pub/neural/illcond/illcond.html| Ill-Conditioning in Neural Networks]] |
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| =====Information related to projects===== | =====Information related to projects===== |
| * Coming up! | * {{ :courses:2018:cs551:projectlist.pdf | Some project ideas and data resources}} |
| | * [[ :courses:2018:cs551:info_for_project| General information for project]] |
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| | =====Other information===== |
| | * {{ :courses:2018:cs551:2017_cs514_midsem.pdf |Previous year mid-sem}} |