December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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The function to evaluate the detector ANN against two specific visual objects
This function evaluates the performance of the detector ANN against two given visual objects—one for each side of the retina space. For the complete source code, please refer to the def _evaluate(self, net, left, right, depth, debug=False) function defined at https://github.com/PacktPublishing/Hands-on-Neuroevolution-with-Python/blob/master/Chapter8/retina_environment.py.
The source code of the function has the following essential parts:
- First, we prepare the inputs for the detector ANN in the order that they are defined in for the substrate configuration:
inputs = left.get_data() + right.get_data() inputs.append(0.5) # the bias net.Input(inputs)
The inputs
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