filmov
tv
Getting Started with STM32Cube.AI
Показать описание
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
Getting Started with STM32Cube.AI
Getting started with STM32Cube.AI Developer Cloud
TinyML: Getting Started with STM32 X-CUBE-AI | Digi-Key Electronics
Getting Started with STM32Cube.AI and Motion Sensing on the STM32L4 IoT Node: Part 1, Overview
STMicroelectronics Demo of Using the STM32Cube.AI Developer Cloud to Test and Deploy ML Solutions
Getting Started with STM32Cube.AI and Motion Sensing on the STM32L4 IoT Node: Part 3, STM32Cube.AI
Getting started with the FP-AI-SENSING1 (STM32Cube function pack, AI/sensing)
Getting Started with STM32Cube.AI and Motion Sensing on the STM32L4 IoT Node: Part 2, STM32CubeIDE
Starting with STM32 - Programming Tutorial for Beginners | Step by Step | Greidi Ajalik
Introduction to STM32Cube.AI - 5 STM32Cube.AI labs
STM32 FP-AI-VISION1 Video Application Notes: Part 1, Introduction
Getting started with STM32 Model zoo
MOOC - Introduction to STM32Cube.AI
What is STM32Cube.AI and when is it available? (artificial intelligence on microcontrollers)
Extending the STM32 AI ecosystem with NVIDIA TAO toolkit
Getting started with STM32CUBE IDE || LED blink || F103C8
Introduction to STM32Cube.AI - 2 Theory of AI
Intro to TinyML Part 1: Training a Neural Network for Arduino in TensorFlow | Digi-Key Electronics
Running AI/Neural networks on microcontrollers made simple with the STM32Cube.AI
AI on STM32 : Person Presence Detection with FP-AI-VISION1
MOOC - STM32Cube.AI workshop
Your first steps with STM32CubeMX
STM32Cube.AI Quest3
STM32Cube.AI Hello World
Комментарии