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种子名称： [FreeCoursesOnline.Me] [LYNDA] Machine Learning in Mobile Applications [FCO]
文件类型： 视频
文件数目： 52个文件
文件大小： 567.61 MB
收录时间： 2019-11-24 21:07
已经下载： 3次
资源热度： 160
最近下载： 2024-9-3 02:30

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

1.Introduction/01.Machine learning in mobile apps.mp410.49MB

1.Introduction/02.What you should know.mp45.55MB

1.Introduction/03.Using the exercise files.mp412.89MB

2.1. Introduction to Machine Learning/04.What is machine learning.mp45.87MB

2.1. Introduction to Machine Learning/05.Required concepts.mp47.32MB

2.1. Introduction to Machine Learning/06.Why does this matter for my app.mp47.39MB

2.1. Introduction to Machine Learning/07.Training a model.mp43.74MB

2.1. Introduction to Machine Learning/08.Machine learning vs. deep learning.mp44.14MB

2.1. Introduction to Machine Learning/09.What can I do with machine learning.mp44.41MB

2.1. Introduction to Machine Learning/10.Server-side vs. client-side ML.mp44.64MB

2.1. Introduction to Machine Learning/11.ML frameworks.mp45.51MB

3.2. Server Models - IBM Watson/12.Overview of Watson.mp44.26MB

3.2. Server Models - IBM Watson/13.Natural Language Understanding - Set up.mp46.48MB

3.2. Server Models - IBM Watson/14.Natural Language Understanding - Train the model.mp412.31MB

3.2. Server Models - IBM Watson/15.Visual Recognition - Set up.mp44.48MB

3.2. Server Models - IBM Watson/16.Visual Recognition - Train the model.mp411.97MB

3.2. Server Models - IBM Watson/17.Create a custom model.mp412.73MB

3.2. Server Models - IBM Watson/18.Train and deploy a custom model.mp410.08MB

3.2. Server Models - IBM Watson/19.Install client SDK package.mp47.62MB

3.2. Server Models - IBM Watson/20.Client tie to Natural Language.mp421.62MB

3.2. Server Models - IBM Watson/21.Client tie to Visual Recognition call setup.mp422MB

3.2. Server Models - IBM Watson/22.Client tie to Visual Recognition response.mp420.07MB

3.2. Server Models - IBM Watson/23.Client tie to custom model - Get an access token.mp421.03MB

3.2. Server Models - IBM Watson/24.Client tie to call custom model service.mp430.34MB

3.2. Server Models - IBM Watson/25.Client tie to get custom model response.mp410.45MB

3.2. Server Models - IBM Watson/26.Run the client app.mp49.51MB

4.3. Server Models - Azure Machine Learning/27.Azure Machine Learning overview.mp44.52MB

4.3. Server Models - Azure Machine Learning/28.Language Understanding - Set up.mp46.54MB

4.3. Server Models - Azure Machine Learning/29.Language Understanding - Intents.mp410.09MB

4.3. Server Models - Azure Machine Learning/30.Language Understanding - Utterances.mp49.83MB

4.3. Server Models - Azure Machine Learning/31.Custom Vision - Set up.mp412.61MB

4.3. Server Models - Azure Machine Learning/32.Machine Learning Studio - Set up.mp412.34MB

4.3. Server Models - Azure Machine Learning/33.Machine Learning Studio - Create model.mp49.15MB

4.3. Server Models - Azure Machine Learning/34.Machine Learning Studio - Publish model.mp48.31MB

4.3. Server Models - Azure Machine Learning/35.Install client SDK package.mp45.89MB

4.3. Server Models - Azure Machine Learning/36.Client tie to LUIS.mp417.8MB

4.3. Server Models - Azure Machine Learning/37.Client tie to Custom Vision model.mp417.5MB

4.3. Server Models - Azure Machine Learning/38.Client tie to custom model.mp413.3MB

4.3. Server Models - Azure Machine Learning/39.Client tie to custom model - Set up request.mp422.56MB

4.3. Server Models - Azure Machine Learning/40.Client tie to custom model - Make the call.mp429.65MB

4.3. Server Models - Azure Machine Learning/41.Run the clent app.mp45.94MB

5.4. Client Models - Core ML/42.Core ML overview.mp43.91MB

5.4. Client Models - Core ML/43.Core ML - Create Natural Language model.mp415.4MB

5.4. Client Models - Core ML/44.Core ML - Create Visual Recognition model.mp48.36MB

5.4. Client Models - Core ML/45.Client tie to Natural Language model.mp417.3MB

5.4. Client Models - Core ML/46.Client tie to Visual Recognition model.mp413.45MB

5.4. Client Models - Core ML/47.Client tie to Visual Recognition - Converting model.mp48.28MB

5.4. Client Models - Core ML/48.Run the client app.mp44.76MB

6.5. Understanding the Offerings/49.Different philosopies of the vendors.mp46.12MB

6.5. Understanding the Offerings/50.Why client-side model vs. server-side.mp46.4MB

6.5. Understanding the Offerings/51.When to use one or the other of these solutions.mp410.56MB

7.Conclusion/52.Next steps.mp410.15MB