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Image Classification: Feature Selection, Data Augmentation, and Transferred Learning through Nvidia GPU acceleration.

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.idea
.idea
 
 
Reports
Reports
 
 
docs
docs
 
 
.gitignore
.gitignore
 
 
01__fetch_data.ipynb
01__fetch_data.ipynb
 
 
02_a__dataset_visualizations.ipynb
02_a__dataset_visualizations.ipynb
 
 
02_b__Image_Augmentation.ipynb
02_b__Image_Augmentation.ipynb
 
 
03_a___MRI_SVM.ipynb
03_a___MRI_SVM.ipynb
 
 
03_b__MRI_PCA_SVM.ipynb
03_b__MRI_PCA_SVM.ipynb
 
 
03_c__MRI_LBP_PCA_SVM.ipynb
03_c__MRI_LBP_PCA_SVM.ipynb
 
 
03_d__MRI_Classifier_CNN.ipynb
03_d__MRI_Classifier_CNN.ipynb
 
 
03_e__MRI_500-frozen-dense.ipynb
03_e__MRI_500-frozen-dense.ipynb
 
 
03_f__MRI_dense169-res101.ipynb
03_f__MRI_dense169-res101.ipynb
 
 
03_h__MRI_dense-350.ipynb
03_h__MRI_dense-350.ipynb
 
 
03_i__MRI_dense-450.ipynb
03_i__MRI_dense-450.ipynb
 
 
04_a__FER__Classifier_CNN.ipynb
04_a__FER__Classifier_CNN.ipynb
 
 
04_b__FER_SVM_No_Feature_Selection.ipynb
04_b__FER_SVM_No_Feature_Selection.ipynb
 
 
04_c__FER_SVM_PCA.ipynb
04_c__FER_SVM_PCA.ipynb
 
 
04_d__FER_SVM_LBP_PCA.ipynb
04_d__FER_SVM_LBP_PCA.ipynb
 
 
04_e__FER_SVM_HoG.ipynb
04_e__FER_SVM_HoG.ipynb
 
 
04_f__FER_SVM_SIFT.ipynb
04_f__FER_SVM_SIFT.ipynb
 
 
04_g__FER_best-perf-experiment-2-x-res-130-vgg-13.ipynb
04_g__FER_best-perf-experiment-2-x-res-130-vgg-13.ipynb
 
 
04_h__FER_experiment-2-res-150-vgg-14-0-4-do.ipynb
04_h__FER_experiment-2-res-150-vgg-14-0-4-do.ipynb
 
 
04_i__FER_increased-image-size-augmented-data-experimen5.ipynb
04_i__FER_increased-image-size-augmented-data-experimen5.ipynb
 
 
04_j__FER_increased-image-size-experiment-4.ipynb
04_j__FER_increased-image-size-experiment-4.ipynb
 
 
04_k__FER_initial-cnn-no-weights-02-dropout.ipynb
04_k__FER_initial-cnn-no-weights-02-dropout.ipynb
 
 
04_l__FER_cnn-res-120.ipynb
04_l__FER_cnn-res-120.ipynb
 
 
04_m__FER_cnn-res-140.ipynb
04_m__FER_cnn-res-140.ipynb
 
 
04_n__FER_cnn-res-160-vgg-16.ipynb
04_n__FER_cnn-res-160-vgg-16.ipynb
 
 
04_o__FER_cnn-res-170.ipynb
04_o__FER_cnn-res-170.ipynb
 
 
04_p__FER_initial-cnn-no-weights-02-dropout.ipynb
04_p__FER_initial-cnn-no-weights-02-dropout.ipynb
 
 
04_q__FER_cnn-resnet50-0-trainable.ipynb
04_q__FER_cnn-resnet50-0-trainable.ipynb
 
 
04_r__FER_cnn-resnet-150-vgg-15-0-2-do.ipynb
04_r__FER_cnn-resnet-150-vgg-15-0-2-do.ipynb
 
 
04_s__FER_training-with-augment-data-experiment-3.ipynb
04_s__FER_training-with-augment-data-experiment-3.ipynb
 
 
04_t__FER_cnn-vgg-0.ipynb
04_t__FER_cnn-vgg-0.ipynb
 
 
04_u__FER_cnn-vgg-12.ipynb
04_u__FER_cnn-vgg-12.ipynb
 
 
04_v__FER_cnn-vgg-14.ipynb
04_v__FER_cnn-vgg-14.ipynb
 
 
04_w__FER_cnn-vgg-17.ipynb
04_w__FER_cnn-vgg-17.ipynb
 
 
05_a__MRI_cnn-test-part-1.ipynb
05_a__MRI_cnn-test-part-1.ipynb
 
 
05_b__MRI_cnn-test-part-2.ipynb
05_b__MRI_cnn-test-part-2.ipynb
 
 
05_c__MRI_cnn-test-part-3.ipynb
05_c__MRI_cnn-test-part-3.ipynb
 
 
05_d__FER_cnn-res0-test.ipynb
05_d__FER_cnn-res0-test.ipynb
 
 
05_e__testing-first-experiment.ipynb
05_e__testing-first-experiment.ipynb
 
 
06_a__final-final-experiments-here.ipynb
06_a__final-final-experiments-here.ipynb
 
 
06_b__new-augmented-set-image-size.xpynb
06_b__new-augmented-set-image-size.xpynb
 
 
README.md
README.md
 
 

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Image Classification: Feature Selection, Data Augmentation, and Transferred Learning

College: New York Institute of Technology
Course: DTSC 870 - M01 / Spring 2022
Advisor: Dr. Cao
Team: Michael Trzaskoma, Hui (Henry) Chen

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Image Classification: Feature Selection, Data Augmentation, and Transferred Learning through Nvidia GPU acceleration.

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machine-learning ai deep-learning cnn python3 feature-selection medical-imaging classification gpu-acceleration transfer-learning data-augmentation svm-classifier facial-expression-recognition

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