ml5.js: Image Classification with MobileNet
In this video, I use the "pre-trained" MobileNet model to classify the content of an image. Code: https://thecodingtrain.com/tracks/ml5...
🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/s...
🎥 Previous: • A Beginner's Guide to Machine Learnin...
🎥 Next: • ml5.js: Webcam Image Classification
🎥 All: • Beginners Guide to Machine Learning i...
References:
💻 ml5.js: https://ml5js.org/
💻 Image-Net: https://image-net.org/
📓 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications: https://arxiv.org/abs/1704.04861
Videos:
🚂 • 2018 Workflow: Editor, Shell, and more
🚂 • 16.11: Promises Part 1 - Topics of Ja...
Timestamps:
0:00 Introduction
0:26 Pretrained models
2:06 What is in the dataset?
4:00 Prediction
4:57 Supervised learning
5:46 Training dataset
6:55 ImageNet
11:09 Getting Started
12:20 Examples
14:35 Callbacks
Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound
🚂 Website: https://thecodingtrain.com/
👾 Share Your Creation! https://thecodingtrain.com/guides/pas...
🚩 Suggest Topics: https://github.com/CodingTrain/Sugges...
💡 GitHub: https://github.com/CodingTrain
💬 Discord: https://thecodingtrain.com/discord
💖 Membership: http://youtube.com/thecodingtrain/join
🛒 Store: https://standard.tv/codingtrain
🖋️ Twitter: / thecodingtrain
📸 Instagram: / the.coding.train
🎥 • Coding Challenges
🎥 • 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...
This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecod...
#machinelearningml #imageclassification #mobilenet #ml5js #p5js #javascript
Watch video ml5.js: Image Classification with MobileNet online without registration, duration hours minute second in high quality. This video was added by user The Coding Train 01 August 2018, don't forget to share it with your friends and acquaintances, it has been viewed on our site 127,471 once and liked it 2.2 thousand people.