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:hatching_chick: NeuroEvolution of Augmenting Topologies (NEAT) implementation with Tensorflow.js (still WIP)

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```error TypeError: genome.generateNetwork is not a function at population.evolve.genome (\NEAT\index.js:11:26) at Chromosome.calculateFitness (\NEAT\node_modules\neuroevolution\src\chromosome.class.js:34:20) at Population.evaluate (\NEAT\node_modules\neuroevolution\src\population.class.js:36:18) at Population.evolve (\node_modules\neuroevolution\src\population.class.js:98:12) at Object. (\NEAT\index.js:10:12) at Module._compile (module.js:649:14) at Object.Module._extensions..js (module.js:663:10) at Module.load...

Currently, a simple neural network is generated, but it does not reflect the structure of the genome generated with the NEAT algorithm. The genome needs to be converted using some...

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