如何解决下标地图对象
我正在尝试根据检查隐藏层的权重来绘制神经网络的神经元图，以了解它们正在识别的内容。特别是，我想将每个神经元的权重绘制成对应于5×5输入的5×5网格。
为此，我将权重映射为其绝对值
abs_weights = map(abs,weights) # darkness only,depends on absolute values
，然后从中绘制出一个网格（列表列表）。
grid = [abs_weights[row:(row+5)] # turn the weights into a 5*5 grid
for row in range(0,25,5)] # weights[0:5] ... weights [20:25]
但是，当我创建此列表列表时，我被告知'map' object is not subscriptable。
import random
random.seed(0) # to get repeatable results
input_size = 25 # each input is a vector of length 25
num_hidden = 5 # well have 5 neurons in the input layer
output_size = 10 # we need 10 outputs for each input
# each hidden neuron has one weight per input,plus a bis weight
hidden_layer = [[random.random() for __ in range(input_size + 1)]
for __ in range(num_hidden)]
# each output neuron has one weight per hidden neuron,plus a biais weight
output_layer = [[random.random() for __ in range(num_hidden + 1)]
for __ in range(output_size)]
# the network starts out with random weights
network = [hidden_layer,output_layer]
import matplotlib
weights = network[0][0] # first neuron in hidden layer
abs_weights = map(abs,depends on absolute values
grid = [abs_weights[row:(row+5)] # turn the weights into a 5*5 grid
for row in range(0,5)] # weights[0:5] ... weights [20:25]
ax = plt.gca() # to use hatching we will need the axis
ax.imshow(grid,# here same as plt.imshow
cmap = matplotlib.cm.binary,# use white-black color scale
interpolation = None) # plot blocks as blocks
def patch(x,y,hatch,color):
pass
但这给了我
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-13-c2d051d93ba5> in <module>
4
5 grid = [abs_weights[row:(row+5)] # turn the weights into a 5*5 grid
----> 6 for row in range(0,5)] # weights[0:5] ... weights [20:25]
7
8 ax = plt.gca() # to use hatching we will need the axis
<ipython-input-13-c2d051d93ba5> in <listcomp>(.0)
4
5 grid = [abs_weights[row:(row+5)] # turn the weights into a 5*5 grid
----> 6 for row in range(0,5)] # weights[0:5] ... weights [20:25]
7
8 ax = plt.gca() # to use hatching we will need the axis
TypeError: 'map' object is not subscriptable
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。