Pattern Recognition and Neural Networks, 2019

Semester: 
Fall
  • Topics covered: Classification Methods, Bayesian Classification, Density Estimation, Dimensionality Reduction, Gaussian Mixture Models, Boosting Algorithms, Neural Networks, Backpropagation, Deep Learning Models, and Statistical Testing.
  • Project: A Language-Independent Multi-Font OCR for Digitized Arabic Text.
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