Getting Started with ML at the Edge on Arm
Brief Summary This course analyzes the deployment of machine learning models on Arm microcontrollers, with an emphasis on real-world applications in edge computing.
computer vision,tensorflow,speech recognition,pattern recognition,machine learning (ml) algorithms,internet of things (iot),anaconda (software),ai & machine learning
Description for Getting Started with ML at the Edge on Arm
Overview of Edge Machine Learning: Acquire the foundational knowledge of artificial intelligence, machine learning, and edge computing, emphasizing the significance of these technologies for interconnected devices.
Practical Training using Fundamental Tools: Investigate dataset preparation and algorithm training utilizing programs such as Anaconda and Python, enabling learners to proficiently manage and employ data.
Advanced Machine Learning Subjects: Explore artificial neural networks and computer vision to get knowledge in advanced domains of machine learning.
Practical Applications and Exercises: Implement acquired concepts via laboratory activities addressing practical issues, including speech and pattern recognition, image processing, and sensor data application on microcontrollers with TensorFlow.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Arm
Duration: 3 weeks at 3 hours a week
Schedule: Flexible
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