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sausheong.github.io | ||
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sirupsen.com
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| | | | | [AI summary] The article provides an in-depth explanation of how to build a neural network from scratch, focusing on the implementation of a simple average function and the introduction of activation functions for non-linear tasks. It discusses the use of matrix operations, the importance of GPUs for acceleration, and the role of activation functions like ReLU. The author also outlines next steps for further exploration, such as expanding the model, adding layers, and training on datasets like MNIST. | |
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vankessel.io
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| | | | | A blog for my thoughts. Mostly philosophy, math, and programming. | |
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datadan.io
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| | | | | I decided that I would build a neural network from scratch in Go. Turns out, this is fairly easy, and I thought it would be great to share my little neural net here. | |
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www.chrisritchie.org
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| | | [AI summary] A blog post discussing the simulation of artificial life with neural networks, focusing on agent behavior, population dynamics, and future development goals. | ||
