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
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