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ml5.js: Training a Convolutional Neural Network for Image Classification

In this video, I update the previous classification example (with pixels) and incorporate a convolutional neural network in ml5.js! Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/8-convolutional-neural-network/4-image-classification ? Watch this video ad-free on Nebula https://nebula.tv/videos/the-coding-train-yt-ml5-js-training-a-convolutional-neural-network-for-image-classification p5.js Web Editor Sketches: ?️ Training a convolutional neural network: https://editor.p5js.org/codingtrain/sketches/ogxO8har_ ?️ Mask: https://editor.p5js.org/codingtrain/sketches/tKLoeUD0u ? Previous: https://youtu.be/pRWq_mtuppU?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y ? Next: https://youtu.be/cO4UP2dX944?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y ? All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: ? Gradient-Based Learning Applied to Document Recognition: http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf Videos: ? What is a Convolutional Neural Network Part 2 - Max Pooling: https://youtu.be/pRWq_mtuppU ? Train a Neural Network with Pixels: https://youtu.be/UaKab6h9Z0I ? Teachable Machine 1: Image Classification: https://youtu.be/kwcillcWOg0 Timestamps: 0:00 Introduction 0:45 Errors in previous video 1:46 Review training with pixels 2:37 Update to the ml library 2:53 Specifiy the task: image classification 3:31 Specify the characteristics of the data 5:11 Adjust addExample function 7:11 Train the model 8:09 Debugging: loss is not decreasing 8:53 normalizeData() 10:07 Why use the convolutional neural network in ml5? 12:03 Mask versus No mask 14:48 Defining custom layers Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound ? Website: https://thecodingtrain.com/ ? Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide ? Suggest Topics: https://github.com/CodingTrain/Suggestion-Box ? GitHub: https://github.com/CodingTrain ? Discord: https://thecodingtrain.com/discord ? Membership: http://youtube.com/thecodingtrain/join ? Store: https://standard.tv/codingtrain ?️ Twitter: https://twitter.com/thecodingtrain ? Instagram: https://www.instagram.com/the.coding.train/ ? Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH ? Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA ? 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-of-Conduct This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new #convolutionalneuralnetwork #imageclassification #ml5js #p5js

Иконка канала JavaScript С Основами
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In this video, I update the previous classification example (with pixels) and incorporate a convolutional neural network in ml5.js! Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/8-convolutional-neural-network/4-image-classification ? Watch this video ad-free on Nebula https://nebula.tv/videos/the-coding-train-yt-ml5-js-training-a-convolutional-neural-network-for-image-classification p5.js Web Editor Sketches: ?️ Training a convolutional neural network: https://editor.p5js.org/codingtrain/sketches/ogxO8har_ ?️ Mask: https://editor.p5js.org/codingtrain/sketches/tKLoeUD0u ? Previous: https://youtu.be/pRWq_mtuppU?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y ? Next: https://youtu.be/cO4UP2dX944?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y ? All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: ? Gradient-Based Learning Applied to Document Recognition: http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf Videos: ? What is a Convolutional Neural Network Part 2 - Max Pooling: https://youtu.be/pRWq_mtuppU ? Train a Neural Network with Pixels: https://youtu.be/UaKab6h9Z0I ? Teachable Machine 1: Image Classification: https://youtu.be/kwcillcWOg0 Timestamps: 0:00 Introduction 0:45 Errors in previous video 1:46 Review training with pixels 2:37 Update to the ml library 2:53 Specifiy the task: image classification 3:31 Specify the characteristics of the data 5:11 Adjust addExample function 7:11 Train the model 8:09 Debugging: loss is not decreasing 8:53 normalizeData() 10:07 Why use the convolutional neural network in ml5? 12:03 Mask versus No mask 14:48 Defining custom layers Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound ? Website: https://thecodingtrain.com/ ? Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide ? Suggest Topics: https://github.com/CodingTrain/Suggestion-Box ? GitHub: https://github.com/CodingTrain ? Discord: https://thecodingtrain.com/discord ? Membership: http://youtube.com/thecodingtrain/join ? Store: https://standard.tv/codingtrain ?️ Twitter: https://twitter.com/thecodingtrain ? Instagram: https://www.instagram.com/the.coding.train/ ? Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH ? Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA ? 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-of-Conduct This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new #convolutionalneuralnetwork #imageclassification #ml5js #p5js

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