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34 lines
1.2 KiB
34 lines
1.2 KiB
#!/usr/bin/env python
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import numpy as np
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from lib.func import AIlib as ai
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class rgb(object):
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def __init__(self, loadedWeights: np.matrix=None, loadedBias: np.matrix=None):
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if( not loadedWeights or not loadedBias ): # if one is null (None) then just generate new ones
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print("Generating weights and biases...")
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self.weights = [ ai.genRandomMatrix(3, 4), ai.genRandomMatrix(4, 4), ai.genRandomMatrix(4, 3) ] # array of matrices of weights
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# 3 input neurons -> 4 hidden neurons -> 4 hidden neurons -> 3 output neurons
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# Generate the biases
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self.bias = [ ai.genRandomMatrix(1, 4), ai.genRandomMatrix(1, 4), ai.genRandomMatrix(1, 3) ]
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# This doesn't look very good, but it works so...
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else: # if we want to load our progress from before then this would do it
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self.weights = loadedWeights
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self.bias = loadedBias
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def learn():
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print("learn")
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def think(self, inp:np.array):
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res = ai.think( np.asmatrix(inp), self.weights, self.bias )
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print(res)
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# print(self.weights)
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# print(self.bias)
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def init(): # init func
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bot = rgb()
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bot.think( np.array([0.2, 0.4, 0.8]) )
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init()
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