MakerChat 0x0A - TinyML 🧠with Edge Impluse ✨
​MakerChat is back with exciting sessions to learn and experiment with TinyML using Edge Impluse and Seeedstudio Wio Terminal 🙌.
TinyML is a type of machine learning that shrinks deep learning networks to fit on tiny hardware. It brings together Artificial Intelligence and intelligent devices
Advantages of TinyML
​Low Latency: Since the model runs on the edge, the data doesn't have to be sent to a server to run inference. This reduces the latency of the output.
​Low Power Consumption: As we discussed before, microcontrollers consume very little power. This enables them to run without being charged for a really long time.
​Low Bandwidth: As the data doesn’t have to be sent to the server constantly, less internet bandwidth is used.
​Privacy: Since the model is running on the edge, your data is not stored in any servers.
​EdgeImpluse makes tinyML easy to build and maintain, and this session is focused on the TinyML experiment with the Edge Impulse platform. We will use Edge Impulse to create the ML models and use the SeeedStudio Wio Terminal hardware platform to train and inference the tinyML models 😋🤞.