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Modernize Python 2 code to get ready for Python 3

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cclauss
2017-11-25 10:23:50 +01:00
parent a03b2eafc0
commit 4e06949072
95 changed files with 580 additions and 521 deletions
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9
Neural_Network/convolution_neural_network.py
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@@ -15,6 +15,7 @@
Date: 2017.9.20
- - - - - -- - - - - - - - - - - - - - - - - - - - - - -
'''
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
@@ -192,8 +193,8 @@ class CNN():
def trian(self,patterns,datas_train, datas_teach, n_repeat, error_accuracy,draw_e = bool):
#model traning
print('----------------------Start Training-------------------------')
print(' - - Shape: Train_Data ',np.shape(datas_train))
print(' - - Shape: Teach_Data ',np.shape(datas_teach))
print((' - - Shape: Train_Data ',np.shape(datas_train)))
print((' - - Shape: Teach_Data ',np.shape(datas_teach)))
rp = 0
all_mse = []
mse = 10000
@@ -262,7 +263,7 @@ class CNN():
plt.grid(True, alpha=0.5)
plt.show()
print('------------------Training Complished---------------------')
print(' - - Training epoch: ', rp, ' - - Mse: %.6f' % mse)
print((' - - Training epoch: ', rp, ' - - Mse: %.6f' % mse))
if draw_e:
draw_error()
return mse
@@ -271,7 +272,7 @@ class CNN():
#model predict
produce_out = []
print('-------------------Start Testing-------------------------')
print(' - - Shape: Test_Data ',np.shape(datas_test))
print((' - - Shape: Test_Data ',np.shape(datas_test)))
for p in range(len(datas_test)):
data_test = np.asmatrix(datas_test[p])
data_focus1, data_conved1 = self.convolute(data_test, self.conv1, self.w_conv1,