Students with no prior experience, learn Neural Networks and Deep Learning, and build a custom project for Image Classification.
Suitable for:
• High School Students
• Or those who have taken AI Basics (M1)
• Or those in Grade 8 and higher who are familiar with AI basics.
Learn the details of advanced Deep Learning algorithms and tune them to optimize their performance for image classification applications. While AI Basics covers how to use different algorithms in Regression and Classification, here we describe how they work internally and how to tune them.
Topics, Tools, and Modules:
• Learn the basics of Deep Learning and Neural Networks
• Architecture of a neural network
• Types of neural networks - MLP and CNN
• How to train and tune a neural network
• Choose a project from a list and build an end-to-end working AI system. We will provide projects in the following categories
• Use the same industry cloud tools that businesses and experts do, We show you how to use them easily. You can use the same tools as you do more advanced classes.
What Students Take Away
• A working image classification project (running application) that you can showcase and share.
• Training in usage of deep neural networks using powerful cloud tools.
• A Navigator account which you can use for future AI projects and competitions.
• Opportunities to compete and win in AI competitions. For more information on this, visit our Research Program.
• Certificate of Completion
Prerequisites
• Bring your own Laptop to class (online)
• Course in Introductory Algebra
