Published 3/2024
Created by Dr. Sebastian Jezowski
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 0m ) | Size: 839 MB
Machine Learning at the Edge: inference, object detection and pose estimation
What you’ll learn:
Overview of the hardware specifications, capabilities, and ideal use cases for Coral products
Participants will learn how to set up the development environment, configure network settings, and ensure the system is ready for deploying AI models
Participants will learn how to integrate the Edge TPU into applications for various domains such as surveillance, retail, healthcare, or smart home systems
Students will develop skills in implementing AI models for image classification and object detection in Machine Learning based projects
Requirements:
Basic experience with Linux
Basic experience with Python is recommended
Machine running Ubuntu Focal Fossa 20.04 LTS (tested to work correctly with this version)
Description:
Welcome to “Mastering Google Coral Dev Boards,” your comprehensive guide to unlocking the full potential of Google’s Coral Dev Boards. This course is designed to empower you with the knowledge and skills needed to harness the power of these cutting-edge devices.You’ll start by getting acquainted with the Google Coral ecosystem and understanding the hardware specifications of both the regular and micro dev boards. From there, we’ll dive into the fundamentals of edge AI, exploring topics such as TensorFlow Lite, model optimization, and deployment strategies tailored for the Coral Dev Boards.As we progress, you’ll learn how to perform inference tasks efficiently using pre-trained models and explore techniques for custom model development and training. You’ll master pose detection using the Coral Dev Boards, unlocking the ability to build intelligent applications capable of recognizing human poses in real-time.But the learning doesn’t stop there. We’ll push the boundaries further by delving into multi-core model cascading on the Coral Dev Board Micro, enabling you to harness the full computational power of these devices for complex AI tasks.Throughout the course, you’ll follow hands-on tutorials, guiding you through practical exercises and projects that reinforce your understanding and skills. By the end, you’ll be equipped to tackle a wide range of AI projects at the edge, from smart surveillance systems to innovative IoT applications and beyond.Join us on this journey to master the Google Coral Dev Boards and unlock the potential of edge AI. Enroll now and start building the future today!
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