udemy
Udemy - одна из самых больших площадок в мире по доставке обучающего контента от разных авторов всего мира. Присутсвуют курсы практически на любую тему.
Машинное Обучение для Flutter: Полное руководство - Flutter ML
Machine Learning for Flutter The Complete Guide - Flutter ML
★4.5 (всего оценок - 10)
Продолжительность
6 ч 26 мин
Категория
Dart и FlutterКоличество уроков
86 Видео
Дата добавления
3 окт. 2021 г., 21:15
Язык
Английский
Дата выхода
10 июн. 2021 г., 03:00
Добро пожаловать на курс "Машинное обучение для Flutter. Полное руководство - Flutter ML". Этот курс, охватывающий все фундаментальные концепции использования моделей машинного обучения в приложениях Flutter, является наиболее полным, доступным в Интернете. Важно то, что вам не нужно иметь базовые рабочие знания в области машинного обучения и компьютерного зрения, чтобы использовать модели машинного обучения во Flutter 2.0 (Dart) и обучать их.
Начав с очень простого примера, вы научитесь использовать продвинутые модели машинного обучения в ваших приложениях Flutter (Android и IOS). Итак, после завершения этого курса вы сможете использовать как простые, так и продвинутые модели Tensorflow lite вместе с Firebase ML Kit в своих приложениях Flutter (Android и IOS).
Это пробный урок. Оформите подписку, чтобы получить доступ ко всем материалам курса. Премиум
- Урок 1. 00:02:43Course Curriculum
- Урок 2. 00:06:50Creating Image Picker Flutter Application GUI
- Урок 3. 00:10:06Flutter Image Picker and Choosing Images from Gallery
- Урок 4. 00:03:43Image Picker and Capturing Images using Camera
- Урок 5. 00:03:48Camera Package Setup for Flutter
- Урок 6. 00:07:48Flutter Camera Package Code
- Урок 7. 00:01:30Firebase ML kit section Introduction
- Урок 8. 00:02:09Firebase ML Kit introduction
- Урок 9. 00:01:45Flutter Image Labeling Section Introduction
- Урок 10. 00:02:58Importing Starter code for image labeling
- Урок 11. 00:04:28Starter code explanation of Image Labeling application
- Урок 12. 00:13:09Adding Firebase ML kit and Image Labeling
- Урок 13. 00:02:20Testing Image labeling application
- Урок 14. 00:02:39Importing Image Labeling live feed application starter code
- Урок 15. 00:06:16Starter code explanation of Live Feed Image Labeling application
- Урок 16. 00:01:06Flutter Image labeling live feed application testing
- Урок 17. 00:01:48Flutter Barcode Scanning Section Introduction
- Урок 18. 00:05:42Importing Starter code for Flutter Barcode Scanning
- Урок 19. 00:09:23Flutter Barcode Scanning code
- Урок 20. 00:00:31Flutter Barcode Scanning Application Testing
- Урок 21. 00:06:37Importing starter code for Barcode scanning live feed application
- Урок 22. 00:07:28Flutter Barcode Scanning Live Feed Application code
- Урок 23. 00:00:46Flutter Barcode Scanning Live feed Application Testing
- Урок 24. 00:01:22Flutter Text Recognition Section Introduction
- Урок 25. 00:02:57Importing Starter code for Flutter Text Recognition
- Урок 26. 00:07:09Writing Flutter Text Recognition Code
- Урок 27. 00:00:56Testing Flutter Text Recognition Application
- Урок 28. 00:01:42Flutter Face Detection Section Introduction
- Урок 29. 00:03:00Flutter Face Detection Application Flow
- Урок 30. 00:08:02Face Detection Application code
- Урок 31. 00:05:15Drawing rectangles around detected faces
- Урок 32. 00:01:12Importing live feed Application code
- Урок 33. 00:00:16Live feed Face detection application demo
- Урок 34. 00:08:13Face Detection with Frames of Live Camera Footage
- Урок 35. 00:03:35Drawing Rectangles around detected faces
- Урок 36. 00:01:35Text Translation section introduction
- Урок 37. 00:01:49Importing starter code Text Translation
- Урок 38. 00:02:11Text translation starter code explanation
- Урок 39. 00:07:57ML language library and Translation code
- Урок 40. 00:01:37Testing text translation application
- Урок 41. 00:01:47Pretrained Tensorflow lite models Section Introduction
- Урок 42. 00:02:22Flutter Image classification Section introduction
- Урок 43. 00:02:53Importing Starter code for Flutter Image classification application
- Урок 44. 00:05:43Starter code explanation for Flutter Image classification
- Урок 45. 00:13:13Writing flutter image classification code
- Урок 46. 00:01:42Testing flutter image classification application
- Урок 47. 00:03:08Importing Flutter live feed Image classification application starter code
- Урок 48. 00:05:26Starter code explanation of Flutter Live feed Image classification application
- Урок 49. 00:10:44Writing Flutter Image classification code
- Урок 50. 00:00:48Testing live feed image classification flutter application
- Урок 51. 00:02:12Flutter Object detection section introduction
- Урок 52. 00:04:58Importing Application code object detection flutter
- Урок 53. 00:13:06Flutter Object detection code
- Урок 54. 00:04:18Flutter Drawing Rectangles around detected objects
- Урок 55. 00:01:40Importing the code for live feed object detection flutter application
- Урок 56. 00:00:52Testing object detection live feed flutter application
- Урок 57. 00:09:39Flutter Live feed object detection application code
- Урок 58. 00:02:22Flutter Pose estimation section introduction
- Урок 59. 00:03:50Importing Flutter Pose estimation Application code
- Урок 60. 00:10:24Flutter Pose estimation code
- Урок 61. 00:02:10Importing pose estimation live feed flutter application code
- Урок 62. 00:00:22Flutter Live feed pose estimation application demo
- Урок 63. 00:07:39Using PoseNet model for Flutter Live feed pose estimation application
- Урок 64. 00:01:45Flutter Image Segmentation Section Introduction
- Урок 65. 00:02:40Importing Flutter Image Segmentation Application code
- Урок 66. 00:08:41Flutter using DeepLab model for image segmentation
- Урок 67. 00:01:57Section Introduction
- Урок 68. 00:02:24Machine Learning and Image classification
- Урок 69. 00:04:46Flutter Getting the dataset for model training
- Урок 70. 00:06:20Flutter Training the model
- Урок 71. 00:18:15Flutter Dog Breed Classification Application
- Урок 72. 00:02:35Flutter Live feed dog breed classification application
- Урок 73. 00:00:43Testing live feed dog breed classification application
- Урок 74. 00:02:28Transfer Learning introduction
- Урок 75. 00:03:02Flutter Getting the dataset for model training
- Урок 76. 00:08:31Flutter Training fruit recognition model
- Урок 77. 00:00:35Flutter Testing Live feed fruits recognition application
- Урок 78. 00:03:42Regression in Flutter Section Introduction
- Урок 79. 00:02:32Importing the starter code for Basic Regression Application
- Урок 80. 00:01:54Flutter Basic Example starter code explaination
- Урок 81. 00:04:32Analyzing a regression model
- Урок 82. 00:10:18Adding the model in Flutter Application and testing
- Урок 83. 00:04:03Basic Example regression model code
- Урок 84. 00:05:12Analyzing Fuel Efficiency model
- Урок 85. 00:02:34Code for Fuel Efficiency regression model
- Урок 86. 00:11:08Fuel Efficiency Prediction Flutter Application
Автор - udemy
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