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Ali Ghodsi, Lec 18: Convolutional neural network (Part 2)
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Classroom Contents
Machine Learning and Classification - STAT 441/841 CM 763 - Fall 2015
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- 1 Ali Ghodsi, Lec1. Machine Learning, Introduction
- 2 Ali Ghodsi, Lec 2: Machine learning. classification, Linear and quadrtic discriminant analysis
- 3 Ali Ghodsi, Lec 3: QDA, Principal Component Analysis (PCA)
- 4 Ali Ghodsi, Lec 5: Logistic Regression
- 5 Ali Ghodsi, Lec 4: PCA,Fisher's Discriminant Analysis (FDA)
- 6 Ali Ghodsi, Lec 6: Logistic Regression, Perceptron
- 7 Ali Ghodsi, Lec 7: Backpropagation
- 8 Ali Ghodsi, Lect 8: Radial basis function network
- 9 Ali Ghodsi, Lec 9: Stein’s unbiased risk estimator (sure)
- 10 Ali Ghodsi, Lec10: Weight decay
- 11 Ali Ghodsi, Lec 11: Hard margin Support Vector Machine (svm)
- 12 Ali Ghodsi, Lec 12: Soft margin Support Vector Machine (svm)
- 13 Ali Ghodsi, Lec 13: Dual PCA, Supervised PCA
- 14 Ali Ghodsi, Lect 14: Supervised PCA, Decision tree
- 15 Ali Ghodsi, Lec 15: Decision Tree, KNN
- 16 Ali Ghodsi, Lec 16 : Ali Ghodsi-Boosting
- 17 Ali Ghodsi, Lec 17: Bagging, Convolutional Networks (part 1)
- 18 Ali Ghodsi, Lec 18: Convolutional neural network (Part 2)
- 19 Ali Ghodsi, Lec 19: PAC Learning
