Build, Train and Deploy A Real-World Flower Classifier of 102 Flower Types

Build, Train and Deploy A Real-World Flower Classifier of 102 Flower Types

With TensorFlow 2.3, Amazon SageMaker Python SDK 2.5.x and Custom SageMaker Training & Serving Docker Containers

Introduction

I love flowers. The lotus flower above is one of my most favorite flower photos taken during my visit to the Summer Palace Beijing in 2008. Since I am a developer and enjoy learning and working on artificial intelligence and cloud projects, I decide to write this blog post to share my project on building a real-world flower classifier with TensorFlow, Amazon SageMaker and Docker.

This post shows step-by-step guide on:

transfer-learning docker-container tensorflow-serving tensorflow2 amazon-sagemaker

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