Image Classification with Amazon Sagemaker

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Offered byCoursera

Image Classification with Amazon Sagemaker
at
Coursera
Overview

Learn how to train and deploy an image classifier using Amazon Sagemaker

Duration	2 hours
Total fee	₹729
Mode of learning	Online
Schedule type	Self paced
Difficulty level	Advanced
Credential	Certificate

Image Classification with Amazon Sagemaker
at
Coursera
Highlights

Get all learning materials, including the interactive workspace and final quiz
Get instant access to the necessary software packages through Rhyme
A split-screen video walkthrough of each step, from a subject-matter expert
Ability to access your cloud desktop across six different sessions

Image Classification with Amazon Sagemaker
at
Coursera
Course details

Who should do this course?

For learners who are based in the North America region

What are the course deliverables?

Prepare data for Sagemaker Image Classification.
Train a model using Sagemaker.
Deploy a trained model using Sagemaker.

More about this course

Use the image classification algorithm from Sagemaker to create, train and deploy a model that will be able to classify 37 breeds of dogs and cats from the popular IIIT-Oxford Pets Dataset
Since this is a practical, project-based course, students will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker
Stusents will also need to have some experience with Amazon Web Services (AWS)

Image Classification with Amazon Sagemaker
at
Coursera
Curriculum

Create Notebook Instance

Download the Data

Extracting Annotations

Visualize the Data

Training Image for the Algorithm

Prepare Data for Sagemaker

Uploading Data to S3

Image Classification with Amazon Sagemaker
at
Coursera
Faculty details

Amit Yadav

Amit is a Machine Learning Engineer with focus in creating deep learning based computer vision and signal processing products. He has led chat bot development at a large corporation in the past. Amit is one of the Machine Learning and Data Science instructors at Rhyme.