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.
Related materials