Machine Learning for iOS Developers [2018, ENG] torrent

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Machine Learning for iOS Developers

Год выпуска: 2018
Производитель: Lynda
Сайт производителя: https://www.lynda.com/iOS-tutorials/Machine-Learning-iOS-Developers/696860-2.html
Автор: Brian Advent
Продолжительность: 1h25m
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Do you want to build custom machine learning models to enhance your iOS apps? Even if you're not a machine learning expert, Core ML makes it easy to integrate an existing machine learning model into an iOS application. And with Turi Create, Apple also provides a Python framework that simplifies the development of custom machine learning models. This course provides an introduction to machine learning and the Core ML framework, and covers how to build your own custom machine learning model and integrate it into an iOS app. Upon wrapping up this course, you will have built an image classifier that can distinguish cats from dogs in a provided picture.
Topics include: Using Turi Create to create custom models
Getting comfortable with Python
Preparing data for Turi Create
Creating a machine learning model with Turi Create
Implementing an image picker controller
Using Core ML and the Vision framework for image classification
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0 - Introduction
01. Welcome.en.srt
01. Welcome.mp4
02. What_you_should_know.en.srt
02. What_you_should_know.mp4
03. Using_the_exercise_files.en.srt
03. Using_the_exercise_files.mp4
1 - Machine_Learning_-_Basics_and_Tools
04. Machine_learning_and_Core_ML.en.srt
04. Machine_learning_and_Core_ML.mp4
05. Custom_models_with_Turi_Create.en.srt
05. Custom_models_with_Turi_Create.mp4
06. Your_machine_learning_setup.en.srt
06. Your_machine_learning_setup.mp4
07. Getting_comfortable_with_Python_part_1.en.srt
07. Getting_comfortable_with_Python_part_1.mp4
08. Getting_comfortable_with_Python_part_2.en.srt
08. Getting_comfortable_with_Python_part_2.mp4
2 - Cats_vs._Dogs_-_Create_an_ML_Model
09. The_data_set_we_work_with.en.srt
09. The_data_set_we_work_with.mp4
10. Work_with_Turi_Create.en.srt
10. Work_with_Turi_Create.mp4
11. Prepare_the_data_for_Turi_Create.en.srt
11. Prepare_the_data_for_Turi_Create.mp4
12. Create_an_ML_model_with_Turi_Create.en.srt
12. Create_an_ML_model_with_Turi_Create.mp4
3 - Dogs_vs._Cats_-_The_iOS_App
13. Our_sample_app_-_Dogs_vs._Cats.en.srt
13. Our_sample_app_-_Dogs_vs._Cats.mp4
14. A_quick_look_around_the_Xcode_project.en.srt
14. A_quick_look_around_the_Xcode_project.mp4
15. Implement_an_image_picker_controller.en.srt
15. Implement_an_image_picker_controller.mp4
16. The_Vision_framework_and_Core_ML.en.srt
16. The_Vision_framework_and_Core_ML.mp4
17. An_animal_detector_powered_by_Vision.en.srt
17. An_animal_detector_powered_by_Vision.mp4
18. Our_machine_learning_model_in_action.en.srt
18. Our_machine_learning_model_in_action.mp4
4 - Conclusion
19. Next_steps.en.srt
19. Next_steps.mp4
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Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 15fps, ~300kbps
Аудио: AAC, 48kHz, 128kbps, stereo
[spoiler="Скриншоты"]

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