Explore >> Select a destination

You are here

 www.unite.ai
Generative vs. Discriminative Machine Learning Models - Unite.AI
| | jonathankinlay.com
Pricing Options Using Machine Learning Algorithms
2.9 parsecs away

Travel
| |
| | stribny.name
Artificial Intelligence in Python
3.1 parsecs away

Travel
| | Fields in Artificial Intelligence and what libraries to use to address them.
| | www.v7labs.com
The Complete Guide to Generative Adversarial Networks [GANs]
1.2 parsecs away

Travel
| | What are Generative Adversarial Networks and how do they work? Learn about GANs architecture and model training, and explore the most popular generative models variants and their limitations.
| | blog.otoro.net
Neural Network Evolution Playground with Backprop NEAT | ???
10.2 parsecs away

Travel
| [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 ...