# Neuroevolution

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This page shows some neuro-evolution examples. Please note that not every example may always be successful. More may be added in the future!

1: Uphill and downhill

This neural network gets taught to increase the input by 0.2 until 1.0 is reached, then it must decrease the input by 2.0.

2: Count to ten

This neural network gets taught to wait 9 inputs of 0, to output 1 at input number 10.

3: Vowel vs. consonants classification

This neural network gets taught to classify if a letter of the alphabet is a vowel or not. The data is one-hot-encoded.

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