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Chapter_2-Run_Length_Encoding_and_Decoding\10. Explore the RLE encodings for our Dataset.mp4
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Chapter_2-Run_Length_Encoding_and_Decoding\11. Create a segmented mask from RLE encodings.mp4
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Chapter_2-Run_Length_Encoding_and_Decoding\12. Create a Function that can convert given RLE encodings to Mask.mp4
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Chapter_2-Run_Length_Encoding_and_Decoding\13. Module Outro.mp4
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Chapter_2-Run_Length_Encoding_and_Decoding\8. Module Intro.mp4
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Chapter_2-Run_Length_Encoding_and_Decoding\9. Run Length Encoding and Decoding.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\14. Module Intro.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\15. Initiating Train and Validation Data Preparation.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\16. Random Undersampling for Ships in the Dataset.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\17. Setting up Parameters for Model Building and Training.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\18. Build the Training and Validation Dataset.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\19. Data Augmentation for Images and Masks.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\20. Garbage Collection.mp4
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Chapter_3-Data_Preparation_and_Preprocessing\21. Module Outro.mp4
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Chapter_4-Image_Segmentation_using_UNET\22. Module Intro.mp4
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Chapter_4-Image_Segmentation_using_UNET\23. Overall Idea of UNET and CNNs.mp4
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Chapter_4-Image_Segmentation_using_UNET\24. Convolutions and Pooling Layers in CNN.mp4
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Chapter_4-Image_Segmentation_using_UNET\25. But why UNET and these layers.mp4
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Chapter_4-Image_Segmentation_using_UNET\26. Understand and Build UNET.mp4
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Chapter_4-Image_Segmentation_using_UNET\27. Compile the Model (combo loss solution).mp4
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Chapter_4-Image_Segmentation_using_UNET\28. Prepare Callbacks.mp4
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Chapter_4-Image_Segmentation_using_UNET\29. Model Training and Saving weights.mp4
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Chapter_4-Image_Segmentation_using_UNET\30. Module Outro.mp4
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Chapter_4-Image_Segmentation_using_UNET\31. Project Conclusion.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\1. Introduction.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\2. Module Intro.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\3. Dataset and Aim of the Project.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\4. Some Applications of Machine Learning in Computer Vision.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\5. Importing Libraries for the Project.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\6. Exploring the Dataset.mp4
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Chapter_1-Project_Introduction_and_Data_Exploration\7. Module Outro.mp4
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