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 ym2132.github.io
From Scratch - The Convolutional Layer
| | programminghistorian.org
Creating Deep Convolutional Neural Networks for Image Classification | Programming Historian
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| | [AI summary] The text provides an in-depth explanation of using neural networks for image classification, focusing on the Teachable Machine and ml5.js tools. It walks through creating a model, testing it with an image, and displaying results on a canvas. The text also discusses the limitations of the model, the importance of training data, and suggests further resources for learning machine learning.
| | sgugger.github.io
Another data science student's blog - Convolution in depth
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| | CNNs (Convolutional Neural Network) are the most powerful networks used in computer vision. Let's see what a convolutional layer is all about, from the definition to the implementation in numpy, even with the back propagation.
| | cs231n.github.io
CS231n Deep Learning for Computer Vision
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| | Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
| | zserge.com
AI or ain't: Neural Networks
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| Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend