MJRoBot (Marcelo Rovai) / White Wine Quality Regression Public

MJRoBot (Marcelo Rovai) / White Wine Quality Regression

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.

Deploy

Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Raw data training data NPY file 3918 windows
Raw data training labels NPY file 3918 windows
Raw data testing data NPY file 980 windows
Raw data testing labels NPY file 980 windows
Regression model TensorFlow Lite (float32) 3 KB
Regression model TensorFlow Lite (int8 quantized) 2 KB
Regression model TensorFlow SavedModel 12 KB
Regression model Keras h5 model 4 KB

Clone project

You are viewing a public Edge Impulse project. Clone this project to add data or make changes.

Summary

Data collected
54s

Project info

Project ID 81242
Project version 1
License No license attached