Udemy - Complete iOS Machine Learning Masterclass [Desire Course]

Files:

• 1. About Your Instructor and Course Overview.mp4 (50.8 MB)
• 1. About Your Instructor and Course Overview.vtt (4.8 KB)
• 2. About Machine Learning.mp4 (8.8 MB)
• 2. About Machine Learning.vtt (5.3 KB)
• 3. Activity Playing with Machine Learning Style Transfer.mp4 (5.0 MB)
• 3. Activity Playing with Machine Learning Style Transfer.vtt (2.8 KB)

• 1. About model conversion types.html (0.4 KB)
• 2. Caffe - Get a Caffe ML model with weights and labels.mp4 (11.8 MB)
• 2. Caffe - Get a Caffe ML model with weights and labels.vtt (3.7 KB)
• 3. CoreML tools conversion code with Caffe.mp4 (21.9 MB)
• 3. CoreML tools conversion code with Caffe.vtt (10.1 KB)
• 4. Exporting Caffe model to mlmodel format.mp4 (12.0 MB)
• 4. Exporting Caffe model to mlmodel format.vtt (5.7 KB)
• 5. Caffe - Using the Caffe model with iOS.mp4 (7.7 MB)
• 5. Caffe - Using the Caffe model with iOS.vtt (3.6 KB)
• 6. Keras - Load Save Keras models and convert to mlmodel.mp4 (36.6 MB)
• 6. Keras - Load Save Keras models and convert to mlmodel.vtt (11.2 KB)
• 7. Vision Image Request parameter options.mp4 (17.3 MB)
• 7. Vision Image Request parameter options.vtt (17.3 MB)

• 1. Introduction to advanced ML with Vision.mp4 (3.1 MB)
• 1. Introduction to advanced ML with Vision.vtt (1.7 KB)
• 2. Project Create the user interface in storyboard.mp4 (10.0 MB)
• 2. Project Create the user interface in storyboard.vtt (5.2 KB)
• 3. Project Coding the Photo selection.mp4 (25.0 MB)
• 3. Project Coding the Photo selection.vtt (9.6 KB)
• 4. Project Coding Face Detection.mp4 (32.2 MB)
• 4. Project Coding Face Detection.vtt (11.5 KB)
• 5. Activity Face Detection.mp4 (2.5 MB)
• 5. Activity Face Detection.vtt (1.4 KB)
• 6. Activity Solution Face Detection.mp4 (11.8 MB)
• 6. Activity Solution Face Detection.vtt (4.7 KB)

• 1. About Advanced Face Feature Recognition.mp4 (3.3 MB)
• 1. About Advanced Face Feature Recognition.vtt (2.2 KB)
• 2. Locate face position and area (part 1 of 2).mp4 (25.1 MB)
• 2. Locate face position and area (part 1 of 2).vtt (10.4 KB)
• 2.1 VisionProject-face-area.zip.zip (58.2 KB)
• 3. Locate face position and area (part 2 of 2).mp4 (23.8 MB)
• 3. Locate face position and area (part 2 of 2).vtt (10.2 KB)
• 4. Code to detect Face features eyes nose lips.mp4 (25.9 MB)
• 4. Code to detect Face features eyes nose lips.vtt (11.0 KB)
• 5. face features part 2.mp4 (22.9 MB)
• 5. face features part 2.vtt (8.4 KB)
• 6. face features part 3.mp4 (25.2 MB)
• 6. face features part 3.vtt (7.9 KB)
• 7. face features part 4.mp4 (14.0 MB)
• 7. face features part 4.vtt (3.8 KB)
• 7.1 VisionProject-FACE-FEATURES.zip.zip (59.8 KB)
• 8. Activity - draw all face features in blue.mp4 (2.8 MB)
• 8. Activity - draw all face features in blue.vtt (1.6 KB)
• 8.1 VisionProject-activity-start.zip.zip (59.8 KB)
• 9. Activity Solution.mp4 (16.4 MB)
• 9. Activity Solution.vtt (3.2 KB)
• 9.1 VisionProject-Activity-solution.zip.zip (59.9 KB)

• 1. About Project Text Detection.mp4 (4.0 MB)
• 1. About Project Text Detection.vtt (2.1 KB)
• 1.1 TextDetectionProject-start.zip.zip (135.6 KB)
• 2. Project text recog part 1.mp4 (8.9 MB)
• 2. Project text recog part 1.vtt (3.9 KB)
• 3. Project text recog part 2.mp4 (16.0 MB)
• 3. Project text recog part 2.vtt (6.0 KB)
• 4. Project text recog part 3.mp4 (13.4 MB)
• 4. Project text recog part 3.vtt (5.0 KB)
• 4.1 TextDetectionProjectCompletedV3.zip.zip (139.9 KB)
• 4.2 TextDetectionV3.zip.zip (139.9 KB)
• 4.3 TextDetectionProject-completed.zip.zip (135.0 KB)
• 5. Activity Text Recognition.mp4 (1.8 MB)
• 5. Activity Text Recognition.vtt (0.9 KB)
• 5.1 TextDetection-activity-start.zip.zip (135.0 KB)
• 6. Solution Text Recognition.mp4 (7.3 MB)
• 6. Solution Text Recognition.vtt (2.3 KB)
• 6.1 TextDetection-activity-solution.zip.zip (136.5 KB)
• 7. Bonus code Character Recognition Template.mp4 (23.6 MB)
• 7. Bonus code Character Recognition Template.vtt (7.8 KB)
• 7.1 Tesseract-iOS.zip.zip (103.5 MB)

• 1. Demo Object Tracking Project.mp4 (4.3 MB)
• 1. Demo Object Tracking Project.vtt (0.8 KB)
• 2. Create Object Tracking Project and UI.mp4 (11.6 MB)
• 2. Create Object Tracking Project and UI.vtt (5.0 KB)
• 3. Program Video Camera Stream.mp4 (29.9 MB)
• 3. Program Video Camera Stream.vtt (11.4 KB)
• 4. Coding the camera stream launch.mp4 (20.3 MB)
• 4. Coding the camera stream launch.vtt (7.6 KB)
• 5. Capturing Data and Perform Tracking Request.mp4 (29.8 MB)
• 5. Capturing Data and Perform Tracking Request.vtt (11.9 KB)
• 6. Coding the tracking request completion handler.mp4 (24.4 MB)
• 6. Coding the tracking request completion handler.vtt (8.1 KB)
• 7. Program the object tracking launch.mp4 (12.6 MB)
• 7. Program the object tracking launch.vtt (4.4 KB)
• 8. Final Modifications.mp4 (11.1 MB)
• 8. Final Modifications.vtt (4.3 KB)
• 9. Final Project Demo.mp4 (4.9 MB)
• 9. Final Project Demo.vtt (1.0 KB)
• 9.1 ObjectTracking-completed.zip.zip (29.8 KB)

• 1. Project Files Download.html (0.1 KB)
• 1.1 MLPhotos-exercise-start.zip.zip (49.5 KB)
• 1.2 CheatSheetMachineLearningFundamentalsforiOS.pdf.pdf (626.0 KB)
• 1.3 MLPhotosWithUIImage.zip.zip (84.0 MB)
• 1.4 MLDataSets-completed.zip.zip (177.7 KB)
• 1.5 VisionProject-start.zip.zip (84.0 MB)
• 2. Ever growing list of Core ML models.html (9.0 KB)

• 1. About this section - start iOS.mp4 (8.1 MB)
• 1. About this section - start iOS.vtt (1.0 KB)
• 2. Download and install xcode for iOS 11.mp4 (5.9 MB)
• 2. Download and install xcode for iOS 11.vtt (3.2 KB)
• 3. Get the iOS developer license.mp4 (11.8 MB)
• 3. Get the iOS developer license.vtt (3.2 KB)
• 4. How to use a MAC on Windows PC or Linux.mp4 (8.1 MB)
• 4. How to use a MAC on Windows PC or Linux.vtt (2.9 KB)
• 5. How to install iOS 11 on your iPhone or iPad.mp4 (8.1 MB)
• 5. How to install iOS 11 on your iPhone or iPad.vtt (3.7 KB)
• 6. Use the Xcode interface.mp4 (15.1 MB)
• 6. Use the Xcode interface.vtt (8.6 KB)
• 7. Xcode configuration files.mp4 (12.8 MB)
• 7. Xcode configuration files.vtt (7.6 KB)

• 1. About this section - intro to ML.mp4 (14.7 MB)
• 1. About this section - intro to ML.vtt (1.6 KB)
• 1.1 CheatSheetMachineLearningFundamentalsforiOS (1).pdf.pdf (1.3 MB)
• 2. What is an Artificial Neuron - Neural Network.mp4 (8.3 MB)
• 2. What is an Artificial Neuron - Neural Network.vtt (5.4 KB)
• 3. Parts of an Artificial Neural Network.mp4 (8.7 MB)
• 3. Parts of an Artificial Neural Network.vtt (4.9 KB)
• 4. Explanation - Convolutional Neural Network.mp4 (7.0 MB)
• 4. Explanation - Convolutional Neural Network.vtt (4.7 KB)
• 5. Recurrent Neural Networks basics RNNs.mp4 (13.6 MB)
• 5. Recurrent Neural Networks basics RNNs.vtt (3.5 KB)

• 1. About this section - coreML with Photos.mp4 (8.2 MB)
• 1. About this section - coreML with Photos.vtt (1.0 KB)
• 1.1 MLPhotos-completed.zip.zip (50.8 KB)
• 1.2 MLPhotos-exercise-start.zip.zip (49.5 KB)
• 10. Testing different ML models.mp4 (18.5 MB)
• 10. Testing different ML models.vtt (7.9 KB)
• 11. Exercise Models with Images input.mp4 (1.7 MB)
• 11. Exercise Models with Images input.vtt (1.2 KB)
• 12. Solution Models with Images input.mp4 (13.7 MB)
• 12. Solution Models with Images input.vtt (5.2 KB)
• 13. Basics of Machine Learning for iOS.html (0.1 KB)
• 14. Summary coreML Vision with Photos.mp4 (2.0 MB)
• 14. Summary coreML Vision with Photos.vtt (1.3 KB)
• 2. Demo of project using coreML on photos.mp4 (4.2 MB)
• 2. Demo of project using coreML on photos.vtt (2.1 KB)
• 3. About ML model and Neural Networks.mp4 (6.1 MB)
• 3. About ML model and Neural Networks.vtt (3.3 KB)
• 4. Project Create the xcode project.mp4 (9.4 MB)
• 4. Project Create the xcode project.vtt (6.4 KB)
• 5. Project How to add ML models to xcode projects.mp4 (19.0 MB)
• 5. Project How to add ML models to xcode projects.vtt (10.1 KB)
• 6. Project How to get pre-made ML models for iOS.mp4 (15.7 MB)
• 6. Project How to get pre-made ML models for iOS.vtt (7.7 KB)
• 7. Project How to use ML models with images (part 1).mp4 (24.1 MB)
• 7. Project How to use ML models with images (part 1).vtt (13.0 KB)
• 8. Project How to use ML models with images (part 2).mp4 (20.5 MB)
• 8. Project How to use ML models with images (part 2).vtt (20.5 MB)
• 9. Project Programming the VN request callback method.mp4 (13.5 MB)
• 9. Project Programming the VN request callback method.vtt (5.5 KB)

• 1. About this section - model conversion.mp4 (13.5 MB)
• 1. About this section - model conversion.vtt (1.5 KB)
• 2. Project Finding custom ML models.mp4 (15.5 MB)
• 2. Project Finding custom ML models.vtt (5.2 KB)
• 3. Project Converting ML models get Anaconda IDE.mp4 (12.5 MB)
• 3. Project Converting ML models get Anaconda IDE.vtt (6.1 KB)
• 4. Installing Python libraries for core ML.mp4 (12.1 MB)
• 4. Installing Python libraries for core ML.vtt (6.5 KB)
• 5. Installing Caffe tools for core ML conversion.mp4 (41.4 MB)
• 5. Installing Caffe tools for core ML conversion.vtt (14.1 KB)
• 5.1 Installing Caffe.pdf.pdf (26.2 KB)
• 6. Project Converting scikit model to core ml mlmodel format.mp4 (33.5 MB)
• 6. Project Converting scikit model to core ml mlmodel format.vtt (16.2 KB)
• 7. Working with Custom Models.html (0.1 KB)

• 1. Introduction to Working with Data sets.mp4 (3.5 MB)
• 1. Introduction to Working with Data sets.vtt (2.4 KB)
• 1.1 MLDataSets-completed.zip.zip (177.7 KB)
• 2. Project Create xcode project and add iris model.mp4 (2.7 MB)
• 2. Project Create xcode project and add iris model.vtt (1.4 KB)
• 3. Project ML dataset project User Interface.mp4 (27.1 MB)
• 3. Project ML dataset project User Interface.vtt (12.5 KB)
• 4. Project Properties and picker delegate methods.mp4 (26.1 MB)
• 4. Project Properties and picker delegate methods.vtt (9.9 KB)
• 5. Project Pickerview data source methods.mp4 (10.4 MB)
• 5. Project Pickerview data source methods.vtt (4.0 KB)
• 6. Project Coding prediction for data sets.mp4 (21.7 MB)
• 6. Project Coding prediction for data sets.vtt (9.6 KB)
• 7. Project Code improvements.mp4 (22.7 MB)
• 7. Project Code improvements.vtt (6.9 KB)
• 8. Important data set models information.mp4 (11.6 MB)
• 8. Important data set models information.vtt (4.2 KB)
• 9. Working with Data Sets.html (0.1 KB)

• 1. About CoreML with Video Camera.mp4 (2.1 MB)
• 1. About CoreML with Video Camera.vtt (1.6 KB)
• 2. Project Create xcode project and add VGG16 model.mp4 (4.4 MB)
• 2. Project Create xcode project and add VGG16 model.vtt (1.9 KB)
• 2.1 CoreMLVideos-completed.zip.zip (1.1 MB)
• 3. Project Building the user interface.mp4 (9.7 MB)
• 3. Project Building the user interface.vtt (5.1 KB)
• 4. Project Video Stream variables setup.mp4 (14.2 MB)
• 4. Project Video Stream variables setup.vtt (5.3 KB)
• 5. Project Program camera feed.mp4 (20.2 MB)
• 5. Project Program camera feed.vtt (6.8 KB)
• 6. Project Capture image from video stream for ML model.mp4 (21.1 MB)
• 6. Project Capture image from video stream for ML model.vtt (7.8 KB)
• 7. Project Programming the ML prediction launch.mp4 (16.1 MB)
• 7. Project Programming the ML prediction launch.vtt (6.8 KB)
• 8. Project Processing the ML model output.mp4 (16.7 MB)
• 8. Project Processing the ML model output.vtt (4.8 KB)
• 9. Testing the live camera feed with VGG model.mp4 (34.8 MB)
• 9. Testing the live camera feed with VGG model.vtt (3.5 KB)

• 1. Congratulations.mp4 (7.7 MB)
• 1. Congratulations.vtt (1.2 KB)

• 1. Adding converted model metadata.mp4 (16.4 MB)
• 1. Adding converted model metadata.vtt (6.8 KB)
• 2. Get a PixelBuffer from a UIImage.mp4 (9.4 MB)
• 2. Get a PixelBuffer from a UIImage.vtt (3.4 KB)
• 3. UIImage PixelBuffer extension (part 1).mp4 (21.8 MB)
• 3. UIImage PixelBuffer extension (part 1).vtt (9.0 KB)
• 4. UIImage PixelBuffer extension (part 2).mp4 (21.0 MB)
• 4. UIImage PixelBuffer extension (part 2).vtt (7.2 KB)
• 5. coreML prediction using UIImage PixelBuffer.mp4 (11.4 MB)
• 5. coreML prediction using UIImage PixelBuffer.vtt (4.4 KB)

• [CourseClub.Me].url (0.0 KB)
• [DesireCourse.Net].url (0.0 KB)