Machine Learning APIs, from Training [...]
summary
Shows concrete demos of Google Cloud Machine Learning APIs: Vision API for label, adult-content and dominant-color detection from images; Speech-to-Text streaming and Text-to-Speech; Translation and NLP; using Node.js and Google Cloud Storage for integration. Describes retraining custom models with AutoML and distributed training and deployment with TensorFlow on Cloud ML Engine, with multilingual (110+ languages) support.
AI-written summary · about
chapters (29)
- 0:00Introduction by Guillaume
- 1:18Artificial Intelligence
- 2:41The Evolution of AI
- 4:33Google Photos
- 6:09Google Recommendations
- 6:38Google My Depository
- 7:18Overview
- 9:19Neural Networks
- 10:17How to Recognize an Apple from an Orange?
- 11:30How to Recognize a Dog?
- 11:52Visual Recognition APIs
- 12:11Regional Vision APIs
- 13:11Location Detection
- 13:42Image Detection
- 15:47Demo
- 19:40Translation
- 21:39Google’s Oldest API
- 24:40Entity Recognition
- 29:31Audio Recognition
- 34:20Audio Recognition App
- 34:53Voice Recognition App
- 37:08Chatbots
- 37:35Interactions
- 37:58Allergies
- 39:59Who is Flo?
- 40:15The Different Types of Flo
- 40:45TensorFlow Documentation
- 41:01Training in the Cloud
- 41:13Conclusion
related talks
59mMachine Intelligence at Google Scale
42mUse Machine Learning in your code, without being a ML expert
47mBuilding smarter apps with Machine Learning, from magic to reality
57mBuilding smarter solutions with Machine Learning, from magic to reality
54mBuilding smarter apps with Machine Learning, from magic to reality
44mBuilding smarter solutions with no expertise in machine learning
22mTrain Custom Machine Learning Models with No Data Science Expertise
32mMachine Learning for Game Developers