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 thomascountz.com
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| | vankessel.io
Introduction to Neural Networks | Kara van Kessel
1.8 parsecs away

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| | A blog for my thoughts. Mostly philosophy, math, and programming.
| | www.hamza.se
Neural Networks: Simpler Than You Think | Hamza Khuswan
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| | A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward.
| | 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 ...
| | dennybritz.com
Implementing a Neural Network from Scratch in Python ยท Denny's Blog
8.7 parsecs away

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| All the code is also available as an Jupyter notebook on Github.