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--- courses:2019:cs551 [2019/01/08 15:17]
arijit [Slides]
+++ courses:2019:cs551 [2019/04/23 14:39] (current)
arijit [Slides]
@@ Line 13: / Line 13: @@
   * Ian Goodfellow, Yoshua Bengio and Aaron Courville, “Deep Learning”, Book in preparation for MIT Press, 2016. (available online)
   * Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie, “The elements of statistical learning”, Springer Series in Statistics, 2009.
+  * Charu C Aggarwal, "Neural Networks and Deep Learning", Springer.
 =====Slides=====
   * {{ :courses:2019:cs551:01_intro_to_dl.pdf |Introduction}}
+  * {{ :courses:2019:cs551:02_linear_algebra.pdf | Linear Algebra and Probability}}
+  * {{ :courses:2019:cs551:03_feature_engg.pdf | Feature engineering}}
+  * {{ :courses:2019:cs551:04_neural_network.pdf | Neural network}}
+  * {{ :courses:2019:cs551:keras.pdf | Introdution to Keras}} - Presented by Niraj
+  * {{ :courses:2019:cs551:05_dl_network.pdf | DNN}}
+  * {{ :courses:2019:cs551:06_regularization.pdf |Regularization}}
+  * {{ :courses:2019:cs551:07_optimization.pdf |Optimization}}
+  * {{ :courses:2019:cs551:08_cnn.pdf | CNN}}
+  * {{ :courses:2019:cs551:09_rnn.pdf | RNN}}
+  * {{ :courses:2019:cs551:10_practical_methods.pdf | Practical methods}}
+  * {{ :courses:2019:cs551:11_drl.pdf |Reinforcement learning}}
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 =====Information related to projects=====
+  * [[ :courses:2019:cs551:project_information |General information]]
 =====Other information=====
+  * {{ :courses:2019:cs551:2018_cs551_midsem.pdf |Previous year midsem paper}}