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[FreeCoursesOnline.Me] [LYNDA] Machine Learning in Mobile Applications [FCO]

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-11-24 21:07 2024-11-2 16:33 178 567.61 MB 52
磁力链接
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迅雷链接
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FreeCoursesOnline Me LYNDA Machine Learning in Mobile Applications FCO

文件列表
  1. 1.Introduction/01.Machine learning in mobile apps.mp410.49MB
  2. 1.Introduction/02.What you should know.mp45.55MB
  3. 1.Introduction/03.Using the exercise files.mp412.89MB
  4. 2.1. Introduction to Machine Learning/04.What is machine learning.mp45.87MB
  5. 2.1. Introduction to Machine Learning/05.Required concepts.mp47.32MB
  6. 2.1. Introduction to Machine Learning/06.Why does this matter for my app.mp47.39MB
  7. 2.1. Introduction to Machine Learning/07.Training a model.mp43.74MB
  8. 2.1. Introduction to Machine Learning/08.Machine learning vs. deep learning.mp44.14MB
  9. 2.1. Introduction to Machine Learning/09.What can I do with machine learning.mp44.41MB
  10. 2.1. Introduction to Machine Learning/10.Server-side vs. client-side ML.mp44.64MB
  11. 2.1. Introduction to Machine Learning/11.ML frameworks.mp45.51MB
  12. 3.2. Server Models - IBM Watson/12.Overview of Watson.mp44.26MB
  13. 3.2. Server Models - IBM Watson/13.Natural Language Understanding - Set up.mp46.48MB
  14. 3.2. Server Models - IBM Watson/14.Natural Language Understanding - Train the model.mp412.31MB
  15. 3.2. Server Models - IBM Watson/15.Visual Recognition - Set up.mp44.48MB
  16. 3.2. Server Models - IBM Watson/16.Visual Recognition - Train the model.mp411.97MB
  17. 3.2. Server Models - IBM Watson/17.Create a custom model.mp412.73MB
  18. 3.2. Server Models - IBM Watson/18.Train and deploy a custom model.mp410.08MB
  19. 3.2. Server Models - IBM Watson/19.Install client SDK package.mp47.62MB
  20. 3.2. Server Models - IBM Watson/20.Client tie to Natural Language.mp421.62MB
  21. 3.2. Server Models - IBM Watson/21.Client tie to Visual Recognition call setup.mp422MB
  22. 3.2. Server Models - IBM Watson/22.Client tie to Visual Recognition response.mp420.07MB
  23. 3.2. Server Models - IBM Watson/23.Client tie to custom model - Get an access token.mp421.03MB
  24. 3.2. Server Models - IBM Watson/24.Client tie to call custom model service.mp430.34MB
  25. 3.2. Server Models - IBM Watson/25.Client tie to get custom model response.mp410.45MB
  26. 3.2. Server Models - IBM Watson/26.Run the client app.mp49.51MB
  27. 4.3. Server Models - Azure Machine Learning/27.Azure Machine Learning overview.mp44.52MB
  28. 4.3. Server Models - Azure Machine Learning/28.Language Understanding - Set up.mp46.54MB
  29. 4.3. Server Models - Azure Machine Learning/29.Language Understanding - Intents.mp410.09MB
  30. 4.3. Server Models - Azure Machine Learning/30.Language Understanding - Utterances.mp49.83MB
  31. 4.3. Server Models - Azure Machine Learning/31.Custom Vision - Set up.mp412.61MB
  32. 4.3. Server Models - Azure Machine Learning/32.Machine Learning Studio - Set up.mp412.34MB
  33. 4.3. Server Models - Azure Machine Learning/33.Machine Learning Studio - Create model.mp49.15MB
  34. 4.3. Server Models - Azure Machine Learning/34.Machine Learning Studio - Publish model.mp48.31MB
  35. 4.3. Server Models - Azure Machine Learning/35.Install client SDK package.mp45.89MB
  36. 4.3. Server Models - Azure Machine Learning/36.Client tie to LUIS.mp417.8MB
  37. 4.3. Server Models - Azure Machine Learning/37.Client tie to Custom Vision model.mp417.5MB
  38. 4.3. Server Models - Azure Machine Learning/38.Client tie to custom model.mp413.3MB
  39. 4.3. Server Models - Azure Machine Learning/39.Client tie to custom model - Set up request.mp422.56MB
  40. 4.3. Server Models - Azure Machine Learning/40.Client tie to custom model - Make the call.mp429.65MB
  41. 4.3. Server Models - Azure Machine Learning/41.Run the clent app.mp45.94MB
  42. 5.4. Client Models - Core ML/42.Core ML overview.mp43.91MB
  43. 5.4. Client Models - Core ML/43.Core ML - Create Natural Language model.mp415.4MB
  44. 5.4. Client Models - Core ML/44.Core ML - Create Visual Recognition model.mp48.36MB
  45. 5.4. Client Models - Core ML/45.Client tie to Natural Language model.mp417.3MB
  46. 5.4. Client Models - Core ML/46.Client tie to Visual Recognition model.mp413.45MB
  47. 5.4. Client Models - Core ML/47.Client tie to Visual Recognition - Converting model.mp48.28MB
  48. 5.4. Client Models - Core ML/48.Run the client app.mp44.76MB
  49. 6.5. Understanding the Offerings/49.Different philosopies of the vendors.mp46.12MB
  50. 6.5. Understanding the Offerings/50.Why client-side model vs. server-side.mp46.4MB
  51. 6.5. Understanding the Offerings/51.When to use one or the other of these solutions.mp410.56MB
  52. 7.Conclusion/52.Next steps.mp410.15MB
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