GitHub - meng-ucalgary/enel-645-slides: Course outline, slides, etc

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Course_Outline.pdf		Course_Outline.pdf
Slide_01_Course_Overview.pdf		Slide_01_Course_Overview.pdf
Slide_02_Python_Bootcamp.pdf		Slide_02_Python_Bootcamp.pdf
Slide_03_Fundamentals_ML.pdf		Slide_03_Fundamentals_ML.pdf
Slide_04_Overfitting_Regularization.pdf		Slide_04_Overfitting_Regularization.pdf
Slide_05_Deep_Learning_Intuition.pdf		Slide_05_Deep_Learning_Intuition.pdf
Slide_06_Data_Normalization_Self_study.pdf		Slide_06_Data_Normalization_Self_study.pdf
Slide_07_Fully_Connected_Neural_Networks.pdf		Slide_07_Fully_Connected_Neural_Networks.pdf
Slide_08_Convolutional_Neural_Networks.pdf		Slide_08_Convolutional_Neural_Networks.pdf
Slide_09_Transfer_Learning.pdf		Slide_09_Transfer_Learning.pdf
Slide_10_Unets.pdf		Slide_10_Unets.pdf
Slide_11_AutoML.pdf		Slide_11_AutoML.pdf
Slide_12_Medical_Image_Segmentation.pdf		Slide_12_Medical_Image_Segmentation.pdf
Slide_13_Domain_Adaptation.pdf		Slide_13_Domain_Adaptation.pdf
Slide_14_Traditional_ML.pdf		Slide_14_Traditional_ML.pdf
Slide_15_GANs.pdf		Slide_15_GANs.pdf
Slide_16_Recurrrent_Neural_Networks.pdf		Slide_16_Recurrrent_Neural_Networks.pdf
Tensorflow_on_UCalgary_Clusters.pdf		Tensorflow_on_UCalgary_Clusters.pdf