[FreeCoursesOnline.Me] [LYNDA] Machine Learning in Mobile Applications [FCO]
File List
- Exercise Files/Ex_Files_Machine_Learning_Mobile_App.zip 131.9 MB
- 3.2. Server Models - IBM Watson/24.Client tie to call custom model service.mp4 30.3 MB
- 4.3. Server Models - Azure Machine Learning/40.Client tie to custom model - Make the call.mp4 29.6 MB
- 4.3. Server Models - Azure Machine Learning/39.Client tie to custom model - Set up request.mp4 22.6 MB
- 3.2. Server Models - IBM Watson/21.Client tie to Visual Recognition call setup.mp4 22.0 MB
- 3.2. Server Models - IBM Watson/20.Client tie to Natural Language.mp4 21.6 MB
- 3.2. Server Models - IBM Watson/23.Client tie to custom model - Get an access token.mp4 21.0 MB
- 3.2. Server Models - IBM Watson/22.Client tie to Visual Recognition response.mp4 20.1 MB
- 4.3. Server Models - Azure Machine Learning/36.Client tie to LUIS.mp4 17.8 MB
- 4.3. Server Models - Azure Machine Learning/37.Client tie to Custom Vision model.mp4 17.5 MB
- 5.4. Client Models - Core ML/45.Client tie to Natural Language model.mp4 17.3 MB
- 5.4. Client Models - Core ML/43.Core ML - Create Natural Language model.mp4 15.4 MB
- 5.4. Client Models - Core ML/46.Client tie to Visual Recognition model.mp4 13.4 MB
- 4.3. Server Models - Azure Machine Learning/38.Client tie to custom model.mp4 13.3 MB
- 1.Introduction/03.Using the exercise files.mp4 12.9 MB
- 3.2. Server Models - IBM Watson/17.Create a custom model.mp4 12.7 MB
- 4.3. Server Models - Azure Machine Learning/31.Custom Vision - Set up.mp4 12.6 MB
- 4.3. Server Models - Azure Machine Learning/32.Machine Learning Studio - Set up.mp4 12.3 MB
- 3.2. Server Models - IBM Watson/14.Natural Language Understanding - Train the model.mp4 12.3 MB
- 3.2. Server Models - IBM Watson/16.Visual Recognition - Train the model.mp4 12.0 MB
- 6.5. Understanding the Offerings/51.When to use one or the other of these solutions.mp4 10.6 MB
- 1.Introduction/01.Machine learning in mobile apps.mp4 10.5 MB
- 3.2. Server Models - IBM Watson/25.Client tie to get custom model response.mp4 10.5 MB
- 7.Conclusion/52.Next steps.mp4 10.1 MB
- 4.3. Server Models - Azure Machine Learning/29.Language Understanding - Intents.mp4 10.1 MB
- 3.2. Server Models - IBM Watson/18.Train and deploy a custom model.mp4 10.1 MB
- 4.3. Server Models - Azure Machine Learning/30.Language Understanding - Utterances.mp4 9.8 MB
- 3.2. Server Models - IBM Watson/26.Run the client app.mp4 9.5 MB
- 4.3. Server Models - Azure Machine Learning/33.Machine Learning Studio - Create model.mp4 9.1 MB
- 5.4. Client Models - Core ML/44.Core ML - Create Visual Recognition model.mp4 8.4 MB
- 4.3. Server Models - Azure Machine Learning/34.Machine Learning Studio - Publish model.mp4 8.3 MB
- 5.4. Client Models - Core ML/47.Client tie to Visual Recognition - Converting model.mp4 8.3 MB
- 3.2. Server Models - IBM Watson/19.Install client SDK package.mp4 7.6 MB
- 2.1. Introduction to Machine Learning/06.Why does this matter for my app.mp4 7.4 MB
- 2.1. Introduction to Machine Learning/05.Required concepts.mp4 7.3 MB
- 4.3. Server Models - Azure Machine Learning/28.Language Understanding - Set up.mp4 6.5 MB
- 3.2. Server Models - IBM Watson/13.Natural Language Understanding - Set up.mp4 6.5 MB
- 6.5. Understanding the Offerings/50.Why client-side model vs. server-side.mp4 6.4 MB
- 6.5. Understanding the Offerings/49.Different philosopies of the vendors.mp4 6.1 MB
- 4.3. Server Models - Azure Machine Learning/41.Run the clent app.mp4 5.9 MB
- 4.3. Server Models - Azure Machine Learning/35.Install client SDK package.mp4 5.9 MB
- 2.1. Introduction to Machine Learning/04.What is machine learning.mp4 5.9 MB
- 1.Introduction/02.What you should know.mp4 5.6 MB
- 2.1. Introduction to Machine Learning/11.ML frameworks.mp4 5.5 MB
- 5.4. Client Models - Core ML/48.Run the client app.mp4 4.8 MB
- 2.1. Introduction to Machine Learning/10.Server-side vs. client-side ML.mp4 4.6 MB
- 4.3. Server Models - Azure Machine Learning/27.Azure Machine Learning overview.mp4 4.5 MB
- 3.2. Server Models - IBM Watson/15.Visual Recognition - Set up.mp4 4.5 MB
- 2.1. Introduction to Machine Learning/09.What can I do with machine learning.mp4 4.4 MB
- 3.2. Server Models - IBM Watson/12.Overview of Watson.mp4 4.3 MB
- 2.1. Introduction to Machine Learning/08.Machine learning vs. deep learning.mp4 4.1 MB
- 5.4. Client Models - Core ML/42.Core ML overview.mp4 3.9 MB
- 2.1. Introduction to Machine Learning/07.Training a model.mp4 3.7 MB
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