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 blog.ephorie.de
Logistic Regression as the Smallest Possible Neural Network - Learning Machines
| | blog.otoro.net
Neural Network Evolution Playground with Backprop NEAT |
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| | [AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ...
| | golb.hplar.ch
Building a simple neural network with Java and JavaScript
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| | [AI summary] The blog post details the author's experience implementing a feedforward neural network for digit recognition using Java and JavaScript, explaining the underlying algorithms, shared external libraries, and architectural decisions while reviewing an introductory book on the topic.
| | dennybritz.com
Implementing a Neural Network from Scratch in Python ยท Denny's Blog
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| | All the code is also available as an Jupyter notebook on Github.
| | www.jeremymorgan.com
How to Get Started With PyTorch
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| Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits.