Image Classification on Autopilot with AWS AutoGluon
Hello everyone and welcome to this new hands-on project on image classification with Amazon Web Services (AWS) AutoGluon. In this project, we will train several deep neural networks models to classify images using a powerful library known as AutoGluon. AutoGluon is the library behind AWS SageMaker autopilot and it allows for quick prototyping of several powerful models using a few lines of code.
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- Level Intermediate
- Duration 2 hours
- Course by Coursera Project Network
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About
Hello everyone and welcome to this new hands-on project on image classification with Amazon Web Services (AWS) AutoGluon. In this project, we will train several deep neural networks models to classify images using a powerful library known as AutoGluon. AutoGluon is the library behind AWS SageMaker autopilot and it allows for quick prototyping of several powerful models using a few lines of code.Modules
Your Learning Journey
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- Assess Your Knowledge
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- Image Classification on Autopilot with AWS AutoGluon
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- Project Overview
Auto Summary
Embark on an exciting journey into the world of image classification with "Image Classification on Autopilot with AWS AutoGluon." This intermediate-level course is perfect for IT and computer science enthusiasts looking to deepen their understanding of machine learning and AI. Guided by expert instructors from Coursera, you will dive into the practical aspects of training deep neural networks using the powerful AWS AutoGluon library. AutoGluon, the engine behind AWS SageMaker autopilot, enables rapid prototyping of sophisticated models with minimal code, making it accessible yet robust for various image classification tasks. This hands-on project spans 120 minutes of immersive learning, ideal for those who prefer a concise yet comprehensive experience. The course is available for free, providing an excellent opportunity to enhance your skills without any financial commitment. Join this engaging course and master the art of image classification with AWS AutoGluon, perfect for IT professionals, data scientists, and AI enthusiasts eager to harness the power of automated machine learning in their projects.
Ryan Ahmed