Hello everybody,
today I want to describe in simple words some training algos of Encog.
Before I'll continue, I want to show general block schema of training algorithms:
Training algorithm
Init NN can look like this:
public BasicNetwork CreateNetwork()
{
var network = n...
Hello everybody,
suppose you have read two of my previous notes about network creating and basic input into neural network and now you have huge desire to make training on neural network with Encog. You are on the right way. One of the options which you have to try is the following:
va...
Hello.
Some other generalizations of how to use Encog.
For getting result of network you can use Compute method:
var output = network.Compute(input);
If we want to get result of bigger number of items, we can use following construction
foreach(var item in trainingSet)
{
var output = netwo...
Here is Backpropogation algorithm declaration of Encog:
var train = new Backpropogation(network, trainingSet, learningRate, momentum);
Today I discovered for myself purpose of momentum paramether.
Here we have error function with global minimum and three local minimums....
Hello everybody,
today I want to share few words about my learning of Encog.
Let's say you have array of 15 doubles:
double []s = new double[15];
Then for simple case you can use BasciMLData class:
IMLData data = new BasicMLData(s);
Now data can be used to feed data to any neural network.&n...