We all didn't expect this study jam will be over within one week right

The previous article is our end of the course.

Let's do a summary of what we have gone through in this Machine Learning APIs course:

• Introduction to APIs in Google
  • Teach you about the architecture and basic functioning of Application Programming Interfaces (APIs).
• Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
  • You’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
• Classify Text into Categories with the Natural Language API
  • Learn how to classify text into categories using the Natural Language API.
• Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
  • The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. You’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.
• Entity and Sentiment Analysis with the Natural Language API
  • The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. You’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
• Awwvision: Cloud Vision API from a Kubernetes Cluster
  • You'll use Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

Since we just accomplished one course, let's take a break~

What we are gonna do for the next lesson, hmmmm ...... let's see