Merge branch 'master' of https://github.com/dongjk/dongjk.github.io

_config.yml

@@ -16,7 +16,12 @@
 title: Notes for machine learning
 email: hikihomori at gmail
 description: >- # this means to ignore newlines until "baseurl:"
-  Notes for machine learning and math
+  All the text, images and other content being part of this Blog is property of the Author, 
+  unless noted otherwise. You are not allowed to reproduce, sell, or modify any part of this Blog. 
+  You are welcome to link to this blog.              
+
+  本博客内容包括文字，图像，视频均为非营利性原创，未经允许，禁止转载。
+  本人保留所有法定权利。违者必究。
 baseurl: "" # the subpath of your site, e.g. /blog
 url: "" # the base hostname & protocol for your site, e.g. http://example.com
 twitter_username: hikihomori

_posts/2018-03-29-Numpy_axis_intuiation.markdown

@@ -6,9 +6,10 @@ categories: math numpy
 ---
 
 
-Axis play a key in Numpy array operations,
-it indicate the dimension of an array(or a tensor), for example, if an array have shape (2,4,6)
-first dimension is axis=0 coresponding to shape 2, second dimension is axis=1 coresponding to shape 4, etc, and for the convience, Numpy also can use axis=-1 to indicate the last dimension.
+Axis play a key role in Numpy array operations,
+it indicate the dimension of an array(or a tensor), for example, if an array have shape (2,4,6),
+
+the first dimension is axis=0 coresponding to shape 2, second dimension is axis=1 coresponding to shape 4, etc, and for the convience, Numpy also can use axis=-1 to indicate the last dimension.
 
 I made an animation for intuiation.
 

_posts/2018-03-29-Numpy_axis_直观印象.markdown

@@ -5,7 +5,7 @@ date:  2018-03-29 21:25:50 +0800
 categories: math numpy
 ---
 
-Axis在Numpy库的array操作中起了非常关键的作用, 它用于指示一个array(或者说tersor)的维度.
+Axis在Numpy库的array操作中起了非常关键的作用, 它用于指示一个array(或者说tensor)的维度.
 
 例如: 一个array的shape是(2,4,6), 那么第一个维度也就是axis=0对应的是shape 2, 第二个维度axis=1对应的是shape 4, 以此类推, 另外为了方便, axis=-1是值得倒数第一个维度.