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--- assignments:assignment5 [2016/10/17 19:20]
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+++ assignments:assignment5 [2016/10/17 19:24]
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 <code>
-Grading sheet for assignment 4
+Grading sheet for assignment 5
-Part 1:  40 points.
+Part 1:  15 points.
-( 5 points):  Primal SVM formulation is correct
-(10 points):  Lagrangian found correctly
-(10 points):  Derivation of saddle point equations
-(15 points):  Derivation of the dual
-Part 2:  15 points.
-Part 2:  15 points.
-Part 3:  30 points.
-(15 points):  Accuracy as a function of parameters and discussion of the results
-(10 points):  Comparison of normalized and non-normalized kernels and correct model selection
-( 5 points):  Visualization of the kernel matrix and observations made about it
+Part 2:  85 points.
+(25 points):  Exploration of a network with a single hidden layer
+(25 points):  Exploration of a network with two hidden layers
+(15 points):  How to add weight decay
+(15 points):  Linear activation function
+( 5 points):  Fixing the code so it handles the bias term correctly
 </code>

CS545 fall 2016