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  3. Getting Started with STM32Cube.AI

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Getting Started with STM32Cube.AI

STMicroelectronics
Find out more information: http://bit.ly/ST-STM32-AI Chapters:- What is STM32Cube.AI?: https://youtu.be/grgNXdkmzzQ?t=10 What you will need to follow: https://youtu.be/grgNXdkmzzQ?t=66 Model Download: https://youtu.be/grgNXdkmzzQ?t=103 Enable X-CUBE-AI extension: https://youtu.be/grgNXdkmzzQ?t=128 Project creation & network configuration: https://youtu.be/grgNXdkmzzQ?t=150 Compression & validation (on desktop): https://youtu.be/grgNXdkmzzQ?t=256 Complete MCU configuration: https://youtu.be/grgNXdkmzzQ?t=383 Code generation overview: https://youtu.be/grgNXdkmzzQ?t=506 Validation on target: https://youtu.be/grgNXdkmzzQ?t=634 X-CUBE-AI is an STM32Cube Expansion Package extending STM32CubeMX capabilities with automatic conversion of pre-trained Neural Network and integration of generated optimized library into the user's project. The X-CUBE-AI Expansion Package offers also several means to validate Neural Networks models both on desktop PC and STM32, as well as measure performance on STM32 devices without user handmade ad hoc C code. Key Features - Generation of an STM32-optimized library from pre-trained Neural Network models - Support various Deep Learning frameworks such as Keras, Caffe, ConvnetJS, and Lasagne - Easy portability across different STM32 microcontrollers series through STM32Cube™ integration - Free, user-friendly license terms
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