Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Shape Classifier Neural Network with ML5.js

Coding Train via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn to build and deploy a machine learning classification model in JavaScript using ml5.js. Follow the step-by-step process of data collection, model training, and prediction for a shape classifier neural network. Generate datasets, load images, create and train neural networks, and test the model with various input methods including mouse-drawn shapes and webcam input. Explore concepts like convolutional neural networks, dataset improvement, and model saving. Gain practical experience in applying machine learning techniques to image classification tasks using popular libraries and tools such as Processing, p5.js, and ml5.js.

Syllabus

Introduction.
Generating the dataset in Processing.
Loading images in p5.js.
Create a ml5 neural network.
Adding the data.
About training the model.
Test training.
Training with full dataset.
Improving the dataset.
Saved model.
Separate sketch for prediction.
Loading the model.
Testing the model with shapes drawn in p5.js.
Mouse drawn shapes.
Using a webcam and a notebook.
Wrap up.
What's next?.

Taught by

The Coding Train

Reviews

Start your review of Shape Classifier Neural Network with ML5.js

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.