The Coding Train | Coding Challenge #158: Shape Classifier Neural Network with ml5.js @TheCodingTrain | Uploaded 3 years ago | Updated 6 hours ago
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: thecodingtrain.com/challenges/158-shape-classifier
🎥 ml5.js: DoodleNet: youtu.be/ABN_DWnM5GQ
Links discussed in this video:
🔗 Processing: processing.org
🔗 p5.js Web Editor: editor.p5js.org
🔗 ml5.js Loading a pre trained model: learn.ml5js.org/#/reference/neural-network?id=loading-a-pre-trained-model
🔗 p5.js copy() reference: p5js.org/reference/#/p5.Image/copy
🔗 DoodleNet (GitHub): github.com/yining1023/doodleNet
Other videos mentioned in this video:
🎥 Workflow Series: youtube.com/playlist?list=PLRqwX-V7Uu6Zu_uqEA6NqhLzKLACwU74X
🎥 ml5.js: Training a CNN for Image Classification: youtu.be/hWurN0XhzLY
🎥 ml5.js: Train a Neural Network with Pixels as Input: youtu.be/UaKab6h9Z0I
🎥 ml5.js: Train Your Own Neural Network: youtu.be/8HEgeAbYphA
🎥 ml5.js: What is a Convolutional Neural Network?: youtu.be/qPKsVAI_W6M
🎥 ml5.js: Save Neural Network Trained Model: youtu.be/wUrg9Hjkhg0
🎥 Quick, Draw! - Coding Challenge #122: youtu.be/yLuk0twx8Hc
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?
🚂 Website: http://thecodingtrain.com
👾 Share Your Creation! thecodingtrain.com/Guides/community-contribution-guide.html
🚩 Suggest Topics: github.com/CodingTrain/Rainbow-Topics
💡 GitHub: github.com/CodingTrain
💬 Discord: discord.gg/hPuGy2g
💖 Membership: http://youtube.com/thecodingtrain/join
🛒 Store: standard.tv/codingtrain
📚 Books: amazon.com/shop/thecodingtrain
🖋️ Twitter: twitter.com/thecodingtrain
📸 Instagram: instagram.com/the.coding.train
🎥 Coding Challenges: youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 Intro to Programming: youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
🔗 p5.js: p5js.org
🔗 p5.js Web Editor: editor.p5js.org
🔗 Processing: processing.org
📄 Code of Conduct: github.com/CodingTrain/Code-of-Conduct
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: thecodingtrain.com/challenges/158-shape-classifier
🎥 ml5.js: DoodleNet: youtu.be/ABN_DWnM5GQ
Links discussed in this video:
🔗 Processing: processing.org
🔗 p5.js Web Editor: editor.p5js.org
🔗 ml5.js Loading a pre trained model: learn.ml5js.org/#/reference/neural-network?id=loading-a-pre-trained-model
🔗 p5.js copy() reference: p5js.org/reference/#/p5.Image/copy
🔗 DoodleNet (GitHub): github.com/yining1023/doodleNet
Other videos mentioned in this video:
🎥 Workflow Series: youtube.com/playlist?list=PLRqwX-V7Uu6Zu_uqEA6NqhLzKLACwU74X
🎥 ml5.js: Training a CNN for Image Classification: youtu.be/hWurN0XhzLY
🎥 ml5.js: Train a Neural Network with Pixels as Input: youtu.be/UaKab6h9Z0I
🎥 ml5.js: Train Your Own Neural Network: youtu.be/8HEgeAbYphA
🎥 ml5.js: What is a Convolutional Neural Network?: youtu.be/qPKsVAI_W6M
🎥 ml5.js: Save Neural Network Trained Model: youtu.be/wUrg9Hjkhg0
🎥 Quick, Draw! - Coding Challenge #122: youtu.be/yLuk0twx8Hc
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?
🚂 Website: http://thecodingtrain.com
👾 Share Your Creation! thecodingtrain.com/Guides/community-contribution-guide.html
🚩 Suggest Topics: github.com/CodingTrain/Rainbow-Topics
💡 GitHub: github.com/CodingTrain
💬 Discord: discord.gg/hPuGy2g
💖 Membership: http://youtube.com/thecodingtrain/join
🛒 Store: standard.tv/codingtrain
📚 Books: amazon.com/shop/thecodingtrain
🖋️ Twitter: twitter.com/thecodingtrain
📸 Instagram: instagram.com/the.coding.train
🎥 Coding Challenges: youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 Intro to Programming: youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
🔗 p5.js: p5js.org
🔗 p5.js Web Editor: editor.p5js.org
🔗 Processing: processing.org
📄 Code of Conduct: github.com/CodingTrain/Code-of-Conduct
