Pattern Recognition and Neural Networks, 2018

Semester: 
Fall
  • Topics covered: Classification Methods, Bayesian Classification, Density Estimation, Dimensionality Reduction, Gaussian Mixture Models, Boosting Algorithms, Neural Networks, Backpropagation, Statistical Testing.
  • Project: Writer Identification based on handwritten text and signatures.
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