ml5.js: Image Classification with MobileNet
In this video, I use the "pre-trained" MobileNet model to classify the content of an image. #machinelearning #mobilenet #imageclassification #ml5 #p5js
💻Course: https://thecodingtrain.com/Courses/ml5-beginners-guide/1.1-ml5-image-classification.html
🎥Previous Video: https://youtu.be/jmznx0Q1fP0
🎥Next Video: https://youtu.be/D9BoBSkLvFo
🎥Full Playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y
Links discussed in this course:
🔗 ml5.js: https://ml5js.org
🔗 Image-Net: image-net.org/index
🔗 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications: https://arxiv.org/abs/1704.04861
🎥 p5.js Workflow: https://youtu.be/HZ4D3wDRaec
🎥 ES6 Promises: https://youtu.be/QO4NXhWo_NM
🚂Website: https://thecodingtrain.com/
💡Github: https://github.com/CodingTrain
💖Membership: https://youtube.com/thecodingtrain/join
🛒Store: https://www.designbyhumans.com/shop/codingtrain/
📚Books: https://www.amazon.com/shop/thecodingtrain
🖋️Twitter: https://twitter.com/thecodingtrain
Video editing by Mathieu Blanchette.
🎥Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥Intro to Programming using p5.js: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
🌐Help us caption and translate: http://www.youtube.com/timedtext_cs_panel?c=UCvjgXvBlbQiydffZU7m1_aw&tab=2
🚩Suggest Topics: https://github.com/CodingTrain/Rainbow-Topics
👾Share your contribution: https://thecodingtrain.com/Guides/community-contribution-guide.html
🔗 p5.js: https://p5js.org
🔗 Processing: https://processing.org
Видео ml5.js: Image Classification with MobileNet канала The Coding Train
💻Course: https://thecodingtrain.com/Courses/ml5-beginners-guide/1.1-ml5-image-classification.html
🎥Previous Video: https://youtu.be/jmznx0Q1fP0
🎥Next Video: https://youtu.be/D9BoBSkLvFo
🎥Full Playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y
Links discussed in this course:
🔗 ml5.js: https://ml5js.org
🔗 Image-Net: image-net.org/index
🔗 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications: https://arxiv.org/abs/1704.04861
🎥 p5.js Workflow: https://youtu.be/HZ4D3wDRaec
🎥 ES6 Promises: https://youtu.be/QO4NXhWo_NM
🚂Website: https://thecodingtrain.com/
💡Github: https://github.com/CodingTrain
💖Membership: https://youtube.com/thecodingtrain/join
🛒Store: https://www.designbyhumans.com/shop/codingtrain/
📚Books: https://www.amazon.com/shop/thecodingtrain
🖋️Twitter: https://twitter.com/thecodingtrain
Video editing by Mathieu Blanchette.
🎥Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥Intro to Programming using p5.js: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
🌐Help us caption and translate: http://www.youtube.com/timedtext_cs_panel?c=UCvjgXvBlbQiydffZU7m1_aw&tab=2
🚩Suggest Topics: https://github.com/CodingTrain/Rainbow-Topics
👾Share your contribution: https://thecodingtrain.com/Guides/community-contribution-guide.html
🔗 p5.js: https://p5js.org
🔗 Processing: https://processing.org
Видео ml5.js: Image Classification with MobileNet канала The Coding Train
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