This course teaches how to use STM32CubeMX and X-Cube-AI tools to implement Neural Networks on STM32 devices, specifically focusing on the STM32L4 family. The learning outcomes include creating a basic Neural Network embedded system and understanding the basics of Artificial Intelligence and Neural Networks. The course covers topics such as Neural Network model creation, STM32CubeMX basics, and hands-on labs for implementing AI on STM32 devices. The intended audience for this course includes engineers interested in Neural Networks and those seeking AI implementation solutions on STM32 devices.
Overview
Syllabus
STM32Cube.AI workshop - 1 Introduction to Artificial Intelligence (AI).
STM32Cube.AI workshop - 2 Introduction to Neural Networks (NN).
STM32Cube.AI workshop - 3 Out of the box lab.
STM32Cube.AI workshop - 4 Five steps behind Neural Network (NN).
STM32Cube.AI workshop - 5 Collect and label dataset lab.
STM32Cube.AI workshop - 6 Neural Network (NN) Model creation.
STM32Cube.AI workshop - 7 STM32CubeMX basics.
STM32Cube.AI workshop - 8 STM32CubeMX basic lab.
STM32Cube.AI workshop - 9 STM32CubeMX and X-Cube-AI lab.
Taught by
STMicroelectronics
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Reviews
4.0 rating, based on 1 Class Central review
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This course is very best.
I understand much about STM32.AIcube.
We did two labs in this course.
Iam very thrilled for understanding about ANN..
Artificial Neural Network ANN and Human activity Recognition HAR..
