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2_1_1_Images_with_python_library_PIL.ipynb
2_1_1_Images_with_python_library_PIL.ipynb
 
 
2_1_2_Images_with_python_library_CV.ipynb
2_1_2_Images_with_python_library_CV.ipynb
 
 
2_2_1_basic_image_manipulation_PIL.ipynb
2_2_1_basic_image_manipulation_PIL.ipynb
 
 
2_2_2_basic_image_manipulation_open_CV.ipynb
2_2_2_basic_image_manipulation_open_CV.ipynb
 
 
2_3_2__Histograms_and_Intensity_Transformations.ipynb
2_3_2__Histograms_and_Intensity_Transformations.ipynb
 
 
2_4_1_Gemetric_trasfroms_PIL.ipynb
2_4_1_Gemetric_trasfroms_PIL.ipynb
 
 
2_4_2_Gemetric_trasfroms_OpenCV.ipynb
2_4_2_Gemetric_trasfroms_OpenCV.ipynb
 
 
2_5_1_Spatial_Filtering_PIL.ipynb
2_5_1_Spatial_Filtering_PIL.ipynb
 
 
2_5_2_Spatial_Filtering_CV.ipynb
2_5_2_Spatial_Filtering_CV.ipynb
 
 
3_1_PyTorch_Logistic_Regression_With_Mini_Batch_Gradient_Descent.ipynb
3_1_PyTorch_Logistic_Regression_With_Mini_Batch_Gradient_Descent.ipynb
 
 
3_2_PyTorch_Digit_Classification_with_Softmax.ipynb
3_2_PyTorch_Digit_Classification_with_Softmax.ipynb
 
 
3_3_Sklearn_Support_Vector_Machines_vs_Vanilla_Linear_Classifier.ipynb
3_3_Sklearn_Support_Vector_Machines_vs_Vanilla_Linear_Classifier.ipynb
 
 
4_1_Simple_Neural_Network_for_XOR.ipynb
4_1_Simple_Neural_Network_for_XOR.ipynb
 
 
4_2_Neural_Network_Rectified_Linear_Unit_(ReLU)_vs_Sigmoid.ipynb
4_2_Neural_Network_Rectified_Linear_Unit_(ReLU)_vs_Sigmoid.ipynb
 
 
4_3_Training_A_Neural_Network_with_Momentum.ipynb
4_3_Training_A_Neural_Network_with_Momentum.ipynb
 
 
4_4_Convolutional_Neural_Network.ipynb
4_4_Convolutional_Neural_Network.ipynb
 
 
4_5_Data_Augmentation.ipynb
4_5_Data_Augmentation.ipynb
 
 
IBMMODELtrain-classification-knn.ipynb
IBMMODELtrain-classification-knn.ipynb
 
 
README.md
README.md
 
 

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Coursera-IBM-Introduction-to-Computer-Vision-and-Image-Processing

Coursera-IBM-Introduction-to-Computer-Vision-and-Image-Processing Labs

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