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neuralnetworksanddeeplearning.com | ||
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programminghistorian.org
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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. | |
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mathspp.com
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| | | | | The third article of this short series concerns itself with the implementation of the backpropagation algorithm, the usual choice of algorithm used to... | |
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vankessel.io
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| | | | | A blog for my thoughts. Mostly philosophy, math, and programming. | |
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kevinlynagh.com
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| | | [AI summary] The author discusses their experience developing a simple neural network for sensor data processing on a microcontroller, highlighting challenges with quantization and inference optimization. | ||