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Tweaked readme.

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Lewis Van Winkle 2016-02-09 19:16:18 -06:00
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README.md
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@ -33,6 +33,9 @@ ask it to predict on a test data point, and then free it:
```C
#include "genann.h"
/* Not shown, loading your training and test data. */
double **training_data_input, **training_data_output, **test_data_input;
/* New network with 5 inputs,
* 2 hidden layer of 10 neurons each,
* and 1 output. */
@ -86,7 +89,7 @@ backpropogation.
A primary design goal of GENANN was to store all the network weights in one
contigious block of memory. This makes it easy and efficient to train the
network weights directly using direct-search numeric optimizion algorthims,
network weights using direct-search numeric optimizion algorthims,
such as [Hill Climbing](https://en.wikipedia.org/wiki/Hill_climbing),
[the Genetic Algorithm](https://en.wikipedia.org/wiki/Genetic_algorithm), [Simulated
Annealing](https://en.wikipedia.org/wiki/Simulated_annealing), etc.