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--- courses:2017:cs551 [2017/03/06 14:38]
arijit [Slides]
+++ courses:2017:cs551 [2017/04/08 14:03]
arijit [Information related to projects]
@@ Line 22: / Line 22: @@
   * {{ :courses:2017:05_dl_network.pdf |Deep Feedforward Network}}
   * {{ :courses:2017:06_regularization.pdf |Regularization}}
+  * {{ :courses:2017:07_optimization.pdf | Optimization of Neural Network}}
+  * {{ :courses:2017:08_cnn.pdf | Convolutional Neural Network}}
+  * {{ :courses:2017:09_rnn.pdf | Recurrent Neural Network}}
+  * {{ :courses:2017:10_practical_methods.pdf | Practical methodology}}
 =====Additional Reading Materials=====
   * {{ :courses:2017:matrixcalculus.pdf|Matrix differentiation}} by Randal J. Barnes, Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota, USA
@@ Line 28: / Line 32: @@
   * [[http://www.asimovinstitute.org/neural-network-zoo/|The neural network zoo]]
   * [[https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ | A Step by Step Backpropagation Example]]
+  * [[http://www.jefkine.com/general/2016/09/05/backpropagation-in-convolutional-neural-networks/|Backpropagation in convolutional neural network]]
+  * [[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]]
 =====Information related to projects=====
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   * [[ :courses:2017:generalinformation| General information]]
   * {{ :courses:2017:cs551_project_ideas_v01.pdf |List of projects}} - These are the projects received so far.
+  * [[ :courses:2017:Final_Project_Report | Final project report]]