TensorFlow-NEAT
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crisbodnar
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
Bumps [numpy](https://github.com/numpy/numpy) from 1.14.3 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.12.2 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
In python3.8 I get `Unable to find installation candidates for tensorflow (1.12.2)` Which python3 was this built with? Tensorflow has specific requirements. Specifying in Readme it would be great. Also...
This is more of a question than an issue. Does this approach, in your opinion, increase the likelihood of overfitting. To your train / cross validation set?
So I took the example (adaptive) And tried my hand at setting it up for NES games. (I set it up for mario first) But I get this error. I...
i have added the supporting to code to use tensorflow nets for es hyperneat, unlike many other implementations that only support 2d substrates you can us any dimension of substrate...
I'd like to request some clarification as to the input format of ```net.activate(some_array)``` from the following code snippet: ``` from tf_neat.recurrent_net import RecurrentNet net = RecurrentNet.create(genome, config, bs) outputs =...
Hi! thank you for the interesting work! This is what I am looking for! By the way. I just test run examples.main.simple, it doesn't seem to use GPU at all....
do you think it is possible to backprop the neat result ? if so what do you think the best way(s) to do that ? thanks!
Whats the ideal way to convert a NEAT genome to a tf graph?
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TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT