Coding Challenge

In this challenge, I demonstrate the entire process of training and deploying a machine learning classification model in JavaScript -- data collection, model training, and prediction! 💻 Code: https://thecodingtrain.com/challenges...

🎥 ml5.js: DoodleNet:    • ml5.js: Classifying Drawings with Doo...  

Links discussed in this video:
🔗 Processing: https://processing.org/
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 ml5.js Loading a pre trained model: https://learn.ml5js.org/#/reference/n...
🔗 p5.js copy() reference: https://p5js.org/reference/#/p5.Image...
🔗 DoodleNet (GitHub): https://github.com/yining1023/doodleNet

Other videos mentioned in this video:
🎥 Workflow Series:    • 2018 Workflow: Editor, Shell, and more  
🎥 ml5.js: Training a CNN for Image Classification:    • ml5.js: Training a Convolutional Neur...  
🎥 ml5.js: Train a Neural Network with Pixels as Input:    • ml5.js: Train a Neural Network with P...  
🎥 ml5.js: Train Your Own Neural Network:    • ml5.js: Train Your Own Neural Network  
🎥 ml5.js: What is a Convolutional Neural Network?:    • ml5.js: What is a Convolutional Neura...  
🎥 ml5.js: Save Neural Network Trained Model:    • ml5: Save Neural Network Trained Model  
🎥 Quick, Draw! - Coding Challenge #122:    • Coding Challenge #122: Quick, Draw!  

Timestamps:
0:00 Introduction
1:33 Generating the dataset in Processing
5:50 Loading images in p5.js
8:34 Create a ml5 neural network
10:54 Adding the data
12:39 About training the model
13:53 Test training
15:21 Training with full dataset
16:44 Improving the dataset
18:20 Saved model
19:01 Separate sketch for prediction
19:40 Loading the model
21:13 Testing the model with shapes drawn in p5.js
24:41 Mouse drawn shapes
31:01 Using a webcam and a notebook
33:49 Wrap up
34:33 What's next?

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🎥 Coding Challenges:    • Coding Challenges  
🎥 Intro to Programming:    • Start learning here!  

🔗 p5.js: https://p5js.org
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 Processing: https://processing.org

📄 Code of Conduct: https://github.com/CodingTrain/Code-o...