Weights & Biases with Edge Impulse
Building a System of Record for Edge ML
Created on September 14|Last edited on November 2
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Thank you for joining us for the talk today. Below is the guide on how to Integrate Edge Impulse to Weights & Biases and get started with tracking metrics within Weights & Biases
How small is Tiny?Enter the Micro ControllerSetupDatasetTraining 🏃🏻♀️ Test Set (unseen data) W&B User GuideJoin us and Our ML Community
How small is Tiny?
Enter the Micro Controller
Presently there are a growing number of edge applications such that are typically similar that devices such as Nvidia Jetson, or mobile phones.
Edge Impulse enabled users to connect to edge devices and weights and biases can be installed on any device that can have an operating system. There are devices however known as microcontrollers that have much more limited constraints, these devices typically have ram in the order of kilobytes and pre-compiled models and programs.
These devices cannot have full python and generally run best on C++ compiled binaries. Edge impulse has developed methods for codeless deployment and conducting data pre-processing pipeline in
Setup
Dataset
Training 🏃🏻♀️
Test Set (unseen data)
W&B User Guide
Join us and Our ML Community
Thank you for joining us at Imagine 2022.
Here are the links to our community forum and some sample getting Started tutorials
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