menu

Machine Learning APIs

Advanced · 8랩 · 52개의 크레딧 · 6시 50분

Use Case (Advanced) Machine learning

It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering it’s development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning APIs by taking labs like Implementing an AI Chatbot with Dialogflow and Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API.

Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

In this lab 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.

Icon  expert expert 9 크레딧 50 분

Classify Text into Categories with the Natural Language API

In this lab you’ll learn how to classify text into categories using the Natural Language API

Icon  advanced advanced 7 크레딧 1 시간

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. In this lab you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.

Icon  advanced advanced 7 크레딧 45 분

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. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

Icon  fundamental fundamental 5 크레딧 40 분

Awwvision: Cloud Vision API from a Kubernetes Cluster

This hands-on lab uses 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.

Icon  advanced advanced 7 크레딧 45 분

Classify Images of Clouds in the Cloud with AutoML Vision

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

Icon  advanced advanced 7 크레딧 1 시간

Implementing an AI Chatbot with Dialogflow

The goal of this lab is to introduce the basics of Google Cloud Dialogflow by building a responsive chat bot, such as those handling support requests on websites. Demonstrates how to utilize this interactive AI in application development.

Icon  expert expert 9 크레딧 50 분

Cloud ML Engine: Qwik Start

In this lab you train and deploy a TensorFlow model to Cloud ML Engine for serving (prediction). Watch these short videos Harness the Power of Machine Learning with Cloud ML Engine and Cloud ML Engine: Qwik Start - Qwiklabs Preview.

Icon  intro introductory 1 크레딧 1 시간

home
Home
school
Catalog
menu
More
More