ML at the Edge on Arm: A Practical Introduction
Exploration of the implementation of AI and machine learning in constrained environments and Arm microcontrollers.
Description for ML at the Edge on Arm: A Practical Introduction
Core AI and Machine Learning Concepts: Offers a comprehensive comprehension of the practical applications of AI principles and machine learning.
Machine Learning on Arm Microcontrollers: Provides a comprehensive understanding of the implementation of machine learning on Arm microcontrollers, with a particular emphasis on the acquisition of sensor and peripheral data.
Artificial Neural Networks and Constrained Environments: Provides an explanation of the fundamentals of Artificial Neural Networks, including Convolutional Neural Networks and Deep Learning, in resource-limited environments.
Computer Vision Deployment: Provides instruction on the efficient deployment of computer vision models on microcontrollers through the use of CMSIS-NN.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by ArmEducationX
Duration: 3�6 hours per week approx 6 weeks
Schedule: Flexible
Pricing for ML at the Edge on Arm: A Practical Introduction
Use Cases for ML at the Edge on Arm: A Practical Introduction
FAQs for ML at the Edge on Arm: A Practical Introduction
Reviews for ML at the Edge on Arm: A Practical Introduction
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML at the Edge on Arm: A Practical Introduction
Featured Tools
Improve your knowledge of complicated AI prompting methods to enhance the functionality and performance of AI platforms.
This AI course delineates the Data Scientist's toolkit, instructs students in Python, R, and SQL, investigates RStudio and Jupyter notebooks, and discusses Git and GitHub for source code administration.
Learn the basics of machine learning systems, model deployment to microcontrollers, and implementation in embedded systems for predictions and decisions.
The course covers imaging diagnosis, tree-based survival prediction, randomized trial therapy effects estimation, and NLP medical data classification.
Master TensorFlow and broaden your skill set. Four hands-on courses will enable you to personalize your machine learning models.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs