Building an ML driven image tagger on Google Cloud Platform

DeepLearning Hero · Beginner ·🛠️ AI Tools & Apps ·2y ago
In this video, we're going to build a simple image tagger that can tag an user uploaded image with keywords based on the objects present in the image. Such a system provides great value for downstream applications like search. In this tutorial, we'll be using 4 GCP (Google Cloud Platform) services; GCS, Cloud vision API, DataStore, App Engine. We'll be using Java + Spring Framework to implement most of the logic. One important detail I left out from the video: DO NOT forget to shut down the GCP project once you're done with it, in order to avoid being charged. Code: https://github.com/thushv…
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Chapters (10)

Introduction
2:38 GCP service pricing
4:38 Why Java
6:08 Creating GCP resources
16:19 Setting up Java and Spring
22:21 Explaining the backend code
29:00 Testing the application locally
41:30 Deploying the app to App Engine
44:30 Testing the deployed service
48:52 Final thoughts and Conclusion
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