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Python Layer.get_value方法代码示例

本文整理汇总了Python中layer.Layer.get_value方法的典型用法代码示例。如果您正苦于以下问题:Python Layer.get_value方法的具体用法?Python Layer.get_value怎么用?Python Layer.get_value使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在layer.Layer的用法示例。


在下文中一共展示了Layer.get_value方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: NeuroNet

# 需要导入模块: from layer import Layer [as 别名]
# 或者: from layer.Layer import get_value [as 别名]
class NeuroNet(object):
    """network over neurons"""

    def __init__(self, input_num, output_num, lnum=3, delta=0):
        super(NeuroNet, self).__init__()
        self.input_layer = Layer(input_num)
        self.output_layer = Layer(output_num)

        self.layers = [Layer()]
        self.connect_layers(self.input_layer, self.layers[0])
        for i in xrange(lnum - 1):
            self.layers.append(Layer())
            self.connect_layers(self.layers[-2], self.layers[-1])

        self.connect_layers(self.layers[-1], self.output_layer)
        for i in self.layers:
            i.modify(-1)
            # for i in i.neurons:
            #   print i
        self.set_input_delta(delta)

    def set_input(self, inp_arr):
        self.input_layer.set_input(inp_arr)
        # return False

    def calculate(self, steps=10):
        for i in xrange(steps):
            self.input_layer.calculate()
            for j in self.layers:
                j.calculate()
            self.output_layer.calculate()
        return self.output_layer.get_value()

    """
    Соединить два слоя последовательно
    """

    def connect_layers(self, l1, l2):
        l1.connect(l2)
        return True

    """
    Добавить новый слой между двумя существующими, заданных индексами позиции
    """

    def add_layer_indx(self, layer=None, prev_layer_indx=0, next_layer_indx=0):
        # if len(self.layers) >= MAX_LAYERS_NUM:
        #   return False
        if not (0 <= prev_layer_indx < len(self.layers) and 0 <= next_layer_indx < len(self.layers)):
            return False
        # if layer == None:
        #   layer = Layer(next = self.layers[next_layer_indx])
        # self.layers.append(layer)
        # self.connect_layers(self.layers[prev_layer_indx],layer)
        self.add_layer(layer, self.layers[prev_layer_indx], self.layers[next_layer_indx])
        return True

    """
    Добавить слой в случайное место
    """

    def rand_add_layer_indx(self, layer=None, np=0):  # 0 - both, 1 - only directly, 2 - only backward
        if len(self.layers) < 2:
            pli = self.layers
        pli, nli = random.sample(range(len(self.layers)), 2)
        if ((np == 1) and (nli < pli)) or ((np == 2) and (nli > pli)):
            pli, nli = nli, pli
        self.add_layer_indx(layer, pli, nli)
        return True

    """
    Добавить слой между двумя заданными слоями, заданных объектами (main)
    """

    def add_layer(self, layer=None, prev_layer=None, next_layer=None):
        if len(self.layers) >= MAX_LAYERS_NUM:
            return False
        if (prev_layer is None) or (next_layer is None):
            return False
        if layer == None:
            layer = Layer(next=next_layer)
        else:
            if (next_layer in layer.next_layer) or (prev_layer in layer.prev_layer):
                print 'DA',
                return False
        self.layers.append(layer)
        self.connect_layers(prev_layer, layer)
        layer.modify(-1)  # add random weight
        return True

    """ 
    Получить слой из общей карты слоев, включая:
    - входной (0); 
    - промежуточные (1..n);
    - выходной (n+1); """

    def get_layer(self, num):
        if num == 0:
            return self.input_layer
        if num == len(self.layers) + 1:
#.........这里部分代码省略.........
开发者ID:TGPAnth,项目名称:NeuroNetwork,代码行数:103,代码来源:neuronet.py


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