40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
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from sympy import *
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import math
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class Model():
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def __init__(self):
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self.layers = []
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def append(self, layer):
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if len(self.layers)!=0:
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layer._connect(self.layers[-1])
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self.layers.append(layer)
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def collapse(self):
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act = symbols(' '.join(['x'+str(i) for i in range(self.layers[0].length)]))
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for layer in self.layers[1:]:
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act = layer.activate(act)
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return list(act)
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class Layer():
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def __init__(self, length):
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self.length = length
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self.layNum = 0
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def _connect(self, prev):
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self.prev = prev
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self.weights = []
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self.layNum = self.prev.layNum + 1
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for w in range(self.length * (self.prev.length+1)):
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self.weights.append(symbols('w'+str(self.layNum)+'_'+str(w)))
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def activate(self, inp):
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act = []
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for neuron in range(self.length):
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accum = self.weights[(self.prev.length+1)*neuron]*self.prev.length
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for iNeuron in range(self.prev.length):
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accum += inp[iNeuron]*self.weights[(self.prev.length+1)*neuron+iNeuron+1]
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a = 1/(1+math.e**(-(accum)/self.prev.length))
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act.append(a)
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return act
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