updated notes and implemented data generation for 10 digit recognition

SecondSaturday/Mnist10Digit.ipynb

@@ -0,0 +1,34 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
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+   },
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+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
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+   "name": "python2"
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+  "language_info": {
+   "codemirror_mode": {
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+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.14"
+  }
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+ "nbformat": 4,
+ "nbformat_minor": 0
+}

SecondSaturday/Notes.md

@@ -54,7 +54,7 @@ eg: stock market temporal data / speech data/ image data
 
 Non-Parametric models : k-NN(K-nearest neighbor), Decision Trees, Random Forests (independent of parameters)
   -> very inaccurate because doesn't know much about the data
-Parametric Models: based on fixed set of parameters
+Parametric Models: based on fixed set of parameters,SVM
   -> more accurate coz the knows more about the parameters from the data
 
 

SecondSaturday/Workshop.md

@@ -12,8 +12,7 @@ language, keyboard layout
   Predict the word
 
 ## Model
-  Structured Output/HMM/ CNN?
-
+  Structured Output/HMM/CNN?
 
 # mnist hand-written digit database -> build application for recognizing full phone numbers(10 digit).