remove example run output

README.md

@@ -136,98 +136,4 @@ Then install npm dependencies and test it:
 ```bash
 $ npm install
 $ node main.js
-```
-
-## Example
-
-Here is an example run of the script (with ```mnist``` set to true in ```config.json```):
-
-```bash
-$ node main.js
-reading config file ...
-... done
-
-parsing MNIST data ...
-digit 6 from training set
-00000000000000000000
-00000001111000000000
-00000011110000000000
-00000011100000000000
-00000111000000000000
-00000111000000000000
-00001110000000000000
-00001110000000000000
-00001110000000000000
-00001100000001110000
-00011100000111110000
-00011100001111111000
-00011100001110111000
-00011100011100111000
-00001110111000111000
-00001111111001110000
-00000111111111110000
-00000011111111000000
-00000001111110000000
-00000000000000000000
-
-digit 8 from testing set
-00000000000000000000
-00000000111110000000
-00000001111111110000
-00000011110011111100
-00000011100000111100
-00000011100000011100
-00000011100000111100
-00000001100001111000
-00000001111111110000
-00000011111111100000
-00001111111110000000
-00001111111100000000
-00011100111100000000
-00011000111100000000
-00111000011000000000
-00111000011000000000
-00111000011000000000
-00011100011000000000
-00011100111000000000
-00001111110000000000
-
-... done
-
-neural network specs:
- layers:
- input: 400 neurons.
- hidden: 40 neurons.
- output: 4 neurons.
- learning rate: 0.1
- training set: 59999 characters.
- testing set: 999 characters.
-
-learning ...
-progress: 10%
-progress: 20%
-progress: 30%
-progress: 40%
-progress: 50%
-progress: 60%
-progress: 70%
-progress: 80%
-progress: 90%
-... done
-
-network saved to ./network.js
-
-testing on 999 samples ...
-progress: 10%
-progress: 20%
-progress: 30%
-progress: 40%
-progress: 50%
-progress: 60%
-progress: 70%
-progress: 80%
-progress: 90%
-... done
-
-success rate: 81.38138138138137 %
 ```