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[DISCUSSION] What are some of the unpopular neural networks and their training techniques.

Obviously deep learning is now very popular that employ neural networks as its substrate. But what are some of unpopular neural networks and their training techniques or even neural networks that are not trained in its mainstream meaning.

Off the top we have following which are not as popular as DNNs but still are well known,

  • RBM and Hopfield nets
  • SOM
  • SOINN
  • CPPN
  • GNG
  • NEAT/HyperNEAT
  • Evolution strategies

One I could think of that is buried under is a string matching NN – Optimal neural network algorithm for on-line string matching

Please share some of the interesting networks from the past.

submitted by /u/paarulakan
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.