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Exploring Neural Graphics Primitives
| | vankessel.io
Introduction to Neural Networks | Kara van Kessel
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| | A blog for my thoughts. Mostly philosophy, math, and programming.
| | matt.might.net
Hello, Perceptron: An introduction to artificial neural networks
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| | [AI summary] This text explains how a single perceptron can learn basic Boolean functions like AND, OR, and NOT, but fails to learn the non-linearly separable XOR function. This limitation led to the development of modern artificial neural networks (ANNs). The transition from single perceptrons to ANNs involves three key changes: 1) Adding multiple layers of perceptrons to create Multilayer Perceptron (MLP) networks, enabling modeling of complex non-linear relationships. 2) Introducing non-linear activation functions like sigmoid, tanh, and ReLU to allow networks to learn non-linear functions. 3) Implementing backpropagation and gradient descent algorithms for efficient training of multilayer networks. These changes allow ANNs to overcome the limitations of ...
| | cprimozic.net
Exploring Neural Networks Visually in the Browser - Casey Primozic's Homepage
1.4 parsecs away

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| | Introduces a browser-based sandbox for building, training, visualizing, and experimenting with neural networks. Includes background information on the tool, usage information, technical implementation details, and a collection of observations and findings from using it myself.
| | sander.ai
Galaxy Zoo Challenge: code published - Sander Dieleman
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| I have published the code for my solution for the Galaxy Zoo Challenge on GitHub