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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def prop_from(self, startLayers):
 """ Start propagation from the layers in the list startLayers. Make sure startLayers are initialized with the desired activations. NO ERROR CHECKING. """

        if self.verbosity > 2: print("Partially propagating network:")
        # find all the layers involved in the propagation
        propagateLayers = []
        # propagateLayers should not include startLayers (no loops)
        for startLayer in startLayers:
            for layer in self.layers:
                if self.path(startLayer, layer):
                    propagateLayers.append(layer)
        for layer in propagateLayers:
            if layer.active: 
                layer.netinput = (layer.weight).copy() 
        for layer in propagateLayers:
            if layer.active:
                for connection in self.connections:
                    if connection.active and connection.toLayer.name == layer.name:
                        connection.toLayer.netinput = connection.toLayer.netinput + \
                                                      Numeric.matrixmultiply(connection.fromLayer.activation,\
                                                                             connection.weight) # propagate!
                if layer.type != 'Input':
                    layer.activation = self.activationFunction(layer.netinput)
        for layer in propagateLayers:
            if layer.log and layer.active:
                layer.writeLog(self)