1. Getting started

  1. About Your Instructor and Course Overview.vtt

  2. About Machine Learning.vtt

  3. Activity Playing with Machine Learning Style Transfer.vtt

 10. Optional - Numerous Model Conversions

  2. Caffe - Get a Caffe ML model with weights and labels.mp4

  3. CoreML tools conversion code with Caffe.mp4

  4. Exporting Caffe model to mlmodel format.mp4

  5. Caffe - Using the Caffe model with iOS.mp4

  6. Keras - Load Save Keras models and convert to mlmodel.mp4

  7. Vision Image Request parameter options.mp4

 11. Advanced Vision Techniques Face Detection

  1. Introduction to advanced ML with Vision.vtt

  2. Project Create the user interface in storyboard.vtt

  3. Project Coding the Photo selection.vtt

  4. Project Coding Face Detection.vtt

  5. Activity Face Detection.vtt

  6. Activity Solution Face Detection.vtt

 12. Optional - Advanced Face Features Detection

  1. About Advanced Face Feature Recognition.vtt

  2. Locate face position and area (part 1 of 2).vtt

  3. Locate face position and area (part 2 of 2).mp4

  4. Code to detect Face features eyes nose lips.mp4

  5. face features part 2.mp4

  6. face features part 3.mp4

  7. face features part 4.mp4

  7.1 VisionProject-FACE-FEATURES.zip.zip

  8. Activity - draw all face features in blue.vtt

  9. Activity Solution.mp4

  9.1 VisionProject-Activity-solution.zip.zip

 13. Advanced Text Detection Techniques

  1. About Project Text Detection.vtt

  2. Project text recog part 1.mp4

  3. Project text recog part 2.mp4

  4. Project text recog part 3.mp4

  4.1 TextDetectionProjectCompletedV3.zip.zip

  4.3 TextDetectionProject-completed.zip.zip

  5. Activity Text Recognition.vtt

  6. Solution Text Recognition.mp4

  6.1 TextDetection-activity-solution.zip.zip

  7. Bonus code Character Recognition Template.vtt

 14. Object Tracking (advanced)

  1. Demo Object Tracking Project.vtt

  2. Create Object Tracking Project and UI.vtt

  3. Program Video Camera Stream.vtt

  4. Coding the camera stream launch.vtt

  5. Capturing Data and Perform Tracking Request.vtt

  6. Coding the tracking request completion handler.vtt

  7. Program the object tracking launch.vtt

  8. Final Modifications.vtt

  9. Final Project Demo.vtt

 15. BONUS

  1.1 MLPhotos-exercise-start.zip.zip

  1.3 MLPhotosWithUIImage.zip.zip

  1.5 VisionProject-start.zip.zip

 2. Optional - iOS Fundamentals

  1. About this section - start iOS.vtt

  2. Download and install xcode for iOS 11.vtt

  3. Get the iOS developer license.vtt

  4. How to use a MAC on Windows PC or Linux.vtt

  5. How to install iOS 11 on your iPhone or iPad.vtt

  6. Use the Xcode interface.vtt

  7. Xcode configuration files.vtt

 3. Optional - Machine Learning Concepts

  1. About this section - intro to ML.vtt

  2. What is an Artificial Neuron - Neural Network.mp4

  3. Parts of an Artificial Neural Network.mp4

  4. Explanation - Convolutional Neural Network.mp4

  5. Recurrent Neural Networks basics RNNs.mp4

 4. iOS Machine Learning With Photos

  1. About this section - coreML with Photos.vtt

  1.2 MLPhotos-exercise-start.zip.zip

  10. Testing different ML models.vtt

  11. Exercise Models with Images input.vtt

  12. Solution Models with Images input.vtt

  14. Summary coreML Vision with Photos.mp4

  2. Demo of project using coreML on photos.mp4

  3. About ML model and Neural Networks.mp4

  4. Project Create the xcode project.mp4

  5. Project How to add ML models to xcode projects.mp4

  6. Project How to get pre-made ML models for iOS.mp4

  7. Project How to use ML models with images (part 1).mp4

  8. Project How to use ML models with images (part 2).mp4

  9. Project Programming the VN request callback method.mp4

 5. coreML All about custom models

  1. About this section - model conversion.vtt

  2. Project Finding custom ML models.vtt

  3. Project Converting ML models get Anaconda IDE.vtt

  4. Installing Python libraries for core ML.vtt

  5. Installing Caffe tools for core ML conversion.vtt

  6. Project Converting scikit model to core ml mlmodel format.mp4

  7. Working with Custom Models.html

 6. CoreML with Data Set models

  1. Introduction to Working with Data sets.vtt

  2. Project Create xcode project and add iris model.mp4

  3. Project ML dataset project User Interface.mp4

  4. Project Properties and picker delegate methods.mp4

  5. Project Pickerview data source methods.mp4

  6. Project Coding prediction for data sets.mp4

  7. Project Code improvements.mp4

  8. Important data set models information.mp4

  9. Working with Data Sets.html

 7. Project coreML with Video Camera

  1. About CoreML with Video Camera.vtt

  2. Project Create xcode project and add VGG16 model.vtt

  3. Project Building the user interface.mp4

  4. Project Video Stream variables setup.mp4

  5. Project Program camera feed.mp4

  6. Project Capture image from video stream for ML model.mp4

  7. Project Programming the ML prediction launch.mp4

  8. Project Processing the ML model output.mp4

  9. Testing the live camera feed with VGG model.mp4

 8. END iOS coreML fundamentals

  1. Congratulations.vtt

 9. Optional - Going the extra mile

  1. Adding converted model metadata.vtt

  2. Get a PixelBuffer from a UIImage.vtt

  3. UIImage PixelBuffer extension (part 1).vtt

  4. UIImage PixelBuffer extension (part 2).vtt

  5. coreML prediction using UIImage PixelBuffer.vtt

 [CourseClub.Me].url