Using TensorFlow with Amazon Sagemaker

Por: Coursera . en: , ,

Overview

In this 2-hour long project-based course, you will learn how to train and deploy an image classifier created and trained with the TensorFlow framework within the Amazon Sagemaker ecosystem. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. However, it is possible to use Sagemaker for custom training scripts as well. We will use TensorFlow and Sagemaker's TensorFlow Estimator to create, train and deploy a model that will be able to classify images of dogs and cats from the popular Oxford IIIT Pet Dataset.

IMPORTANT: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage.

Since this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker and TensorFlow. You will also need to have some experience with Amazon Web Services (AWS).

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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