add transMnsit File

trainsMnist/trainsMnist.py

@@ -0,0 +1,36 @@
+#coding=utf-8
+'''
+Mnsit原始数据集为字符格式，将数据集转换为cvs格式，
+后续代码都会在cvs文件的基础上进行编写，这样大家看代码也能清楚很多
+代码由以下网址提供，表示感谢。
+https://pjreddie.com/projects/mnist-in-csv/
+
+该py文件属于一个补充，不使用也不影响后续算法的实践。
+转换后的CVS文件在Mnist文件夹中
+'''
+def convert(imgf, labelf, outf, n):
+    f = open(imgf, "rb")
+    o = open(outf, "w")
+    l = open(labelf, "rb")
+
+    f.read(16)
+    l.read(8)
+    images = []
+
+    for i in range(n):
+        image = [ord(l.read(1))]
+        for j in range(28*28):
+            image.append(ord(f.read(1)))
+        images.append(image)
+
+    for image in images:
+        o.write(",".join(str(pix) for pix in image)+"\n")
+    f.close()
+    o.close()
+    l.close()
+
+if __name__ == '__main__':
+    convert(".\Mnist\\t10k-images.idx3-ubyte", ".\Mnist\\t10k-labels.idx1-ubyte",
+            ".\Mnist\\mnist_test.csv", 10000)
+    convert(".\Mnist\\train-images.idx3-ubyte", ".\Mnist\\train-labels.idx1-ubyte",
+            ".\Mnist\mnist_train.csv", 60000)