Getting Started with STM32Cube.AI
Channel: STMicroelectronics
Date: 2018-12-25

Find out more information: http://bit.ly/ST-STM32-AI
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