MATLAB Deep Learining using Neural Network Toolbox + Finance Portfolio Selection with MorningStar Artificial Nerual Network x 3 : Bodyfat Dataset ANN #1 - 10 Node + 1 Hidden Layer ANN #2 - 2 Nodes & 50 Nodes + 1 Hidden Later ANN #3 - Add regularization term Facial Recognition - AutoEncoder AutoEncoder #1 - Traditional Approach AutoEncoder #2 - Subject Specific : MSE Geuine and Imposter Scores AutoEncoder #3 - Subject Independent Facial Recognition - PCA & LDA PCA #1 : Mode #1 PCA #2 : Mode #2 LDA Gesture Recognition - NARX Net NARX #1 - Prefold NARX #2 - Subject Specific : 3 Cross-Validatioon NARX #3 - Subject Independent : 6 Cross-Validation NARX #4 - Committee : 3 Cross-Validation NARX #5 - Committee : 6 Cross-Validation Gesture Recognition - TDNN Net TDNN #1 - Prefold TDNN #2 - Subject Specific : 3 Cross-Validatioon TDNN #3 - Subject Independent : 6 Cross-Validation Fingerprint Spoof Detector - Naive Bayes Classifier Naive Bayes Classifier - Defalt Prior Naive Bayes Classifier - Customized Prior Radial Basis Function - Exact + Regular RBF Portfolio Selection with MorningStar Portfolio Selection 3-5 stars