style(data): 更新数据集路径

deep-learning-algorithm · May 5, 2020 · f16c6fa · f16c6fa
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commit f16c6fa
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Showing 8 changed files with 8 additions and 10 deletions.
diff --git a/docs/示例.md b/docs/示例.md
@@ -26,7 +26,7 @@ from pynet.vision import Draw
 ## 创建数据集并进行预处理
 
 ```
-data_path = '/home/zj/data/decompress_mnist'
+data_path = '~/data/decompress_mnist'
 
 x_train, x_test, y_train, y_test = mnist.load_mnist(data_path, shuffle=True, is_flatten=True)
 

diff --git a/examples/2_nn_mnist.py b/examples/2_nn_mnist.py
@@ -10,8 +10,7 @@
 from pynet.vision.data import mnist
 from pynet.vision import Draw
 
-data_path = '/home/zj/data/decompress_mnist'
-# data_path = '/home/lab305/Documents/zj/data/mnist'
+data_path = '~/data/decompress_mnist'
 
 if __name__ == '__main__':
     x_train, x_test, y_train, y_test = mnist.load_mnist(data_path, shuffle=True, is_flatten=True)

diff --git a/examples/3_nn_cifar10.py b/examples/3_nn_cifar10.py
@@ -11,7 +11,7 @@
 import pynet.nn as nn
 from pynet.vision import Draw
 
-data_path = '/home/lab305/Documents/zj/data/cifar_10/cifar-10-batches-py'
+data_path = '~/data/cifar_10/cifar-10-batches-py'
 
 if __name__ == '__main__':
     data_dict = cifar.get_CIFAR10_data(data_path)

diff --git a/examples/3_nn_iris.py b/examples/3_nn_iris.py
@@ -12,7 +12,7 @@
 from pynet.vision.data import iris
 from pynet.vision import Draw
 
-data_path = '/home/zj/data/iris-species/Iris.csv'
+data_path = '~/data/iris-species/Iris.csv'
 
 if __name__ == '__main__':
     x_train, x_test, y_train, y_test = iris.load_iris(data_path, shuffle=True, tsize=0.8)

diff --git a/examples/3_nn_mnist.py b/examples/3_nn_mnist.py
@@ -10,7 +10,7 @@
 from pynet.vision.data import mnist
 from pynet.vision import Draw
 
-data_path = '/home/zj/data/decompress_mnist'
+data_path = '~/data/decompress_mnist'
 
 if __name__ == '__main__':
     x_train, x_test, y_train, y_test = mnist.load_mnist(data_path, shuffle=True, is_flatten=True)

diff --git a/examples/3_nn_orl.py b/examples/3_nn_orl.py
@@ -11,7 +11,7 @@
 from pynet.vision.data import orl
 from pynet.vision import Draw
 
-data_path = '/home/zj/data/att_faces_png'
+data_path = '~/data/att_faces_png'
 
 if __name__ == '__main__':
     x_train, x_test, y_train, y_test = orl.load_orl(data_path, shuffle=True)

diff --git a/examples/lenet5_mnist.py b/examples/lenet5_mnist.py
@@ -10,8 +10,7 @@
 from pynet.vision.data import mnist
 from pynet.vision import Draw
 
-# data_path = '/home/zj/data/decompress_mnist'
-data_path = '/home/lab305/Documents/zj/data/mnist'
+data_path = '~/data/decompress_mnist'
 
 if __name__ == '__main__':
     x_train, x_test, y_train, y_test = mnist.load_mnist(data_path, dst_size=(32, 32), shuffle=True)

diff --git a/examples/nin_cifar10.py b/examples/nin_cifar10.py
@@ -9,7 +9,7 @@
 import numpy as np
 import time
 
-data_path = '/home/lab305/Documents/data/decompress_cifar_10'
+data_path = '~/data/decompress_cifar_10'
 
 epochs = 100
 batch_size = 128