30 lines
656 B
Python
30 lines
656 B
Python
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import numpy as np
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class layer:
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def __init__(self, neurons, activationFunction)
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self.neurons = neurons
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self.activationFunction = activationFunction
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def process(_input, __storeValues=False)
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class dense(layer):
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def process(_input, __storeValues=False):
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_input = np.dot(layerWeights, _input)
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_input = np.add(_input, layerBias)
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if (__storeValues):
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self.activation = _input
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_input = self.activationFunction.applyTo(_input)
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if (__storeValues):
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self.output = _input
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return _input
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class convolution(layer):
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pass
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class flatten(layer):
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pass
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