Deep_Learning_Works_CCU ( 2023 Spring CCU Deep Learning Project, Report, Homeworks and Labs )

Project -- The Integration of adversarial-robustness-toolbox and kserve

• Group work :

• Report :

  • https://github.com/Sharkkcode/Deep_Learning_Works_CCU/blob/main/project_report.pdf

• Slide :

  • https://github.com/Sharkkcode/Deep_Learning_Works_CCU/blob/main/project_slide.pdf

Report -- BREAKING CERTIFIED DEFENSES: SEMANTIC ADVERSARIAL EXAMPLES WITH SPOOFED ROBUSTNESS CERTIFICATES

• Slide :

  • https://github.com/Sharkkcode/Deep_Learning_Works_CCU/blob/main/paper_report_slide.pdf

HW_Mid and HW_Fin ( code )

• Midterm and Final

HW_1_Tensorflow

• Tensorflow

HW_2_Keras

• Keras

HW_3_Optimization_Methods

• Optimization Methods

HW_4_Residual_Networks

• Residual Networks ( Due to the large size of the dataset, only the source code will be provided. )

HW_6_RNN

• RNN

HW_7_GAN

• GAN

LAB_1_python_numpy

• python tutorials and numpy tutorials.

LAB_2_DNN

• DNN

LAB_3_Regularization

• Regularization

LAB_4_CNN

• CNN

LAB_5_Car_Detection

• Car Detection