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22 "cells" : [
33  {
4-    "cell_type" : " code" 
5-    "execution_count" : null ,
4+    "cell_type" : " markdown" 
65   "metadata" : {},
7-    "outputs" : [],
86   "source" : [
97    " \n " 
108    " # MNIST Dataset Introduction\n " 
2927  {
3028   "cell_type" : " code" 
3129   "execution_count" : null ,
32-    "metadata" : {
33-     "collapsed" : true 
34-    },
30+    "metadata" : {},
3531   "outputs" : [],
3632   "source" : [
3733    " # Import MNIST\n " 
5551  {
5652   "cell_type" : " code" 
5753   "execution_count" : null ,
58-    "metadata" : {
59-     "collapsed" : true 
60-    },
54+    "metadata" : {},
6155   "outputs" : [],
6256   "source" : [
6357    " # Get the next 64 images array and labels\n " 
8882   "name" : " python" 
8983   "nbconvert_exporter" : " python" 
9084   "pygments_lexer" : " ipython2" 
91-    "version" : " 2.7.13 " 
85+    "version" : " 2.7.18 " 
9286  }
9387 },
9488 "nbformat" : 4 ,
95-  "nbformat_minor" : 0 
89+  "nbformat_minor" : 1 
9690}
 
 
   
 
     
   
   
          
    
    
     
    
      
     
     
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