With TensorFlow 2.3, Amazon SageMaker Python SDK 2.5.x and Custom SageMaker Training & Serving Docker Containers
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:
Google Reveals "What is being Transferred” in Transfer Learning. Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community.
A practical and hands-on example to know how to use transfer learning using TensorFlow. We will learn how to use transfer learning for a classification task.
Project walk-through on Convolution neural networks using transfer learning. From 2 years of my master’s degree, I found that the best way to learn concepts is by doing the projects.
Welcome to this on Docker Tutorial for Beginners. In this video provides an Introduction on C++ development with Docker containers. So we will see How to ship C++ Programs in Docker.
In this tutorial, I’m going to show you how to serve ML models using Tensorflow Serving, an efficient, flexible, high-performance serving system for machine learning models, designed for production environments.