public LeNetNetwork(params char[] characters)
{
Weights.GlobalLearningRate = 0.00005;
Weights.GlobalMu = 0.02;
configuration = LeNetConfiguration.FromCharacters(characters);
CreateNetwork();
}
public LeNetNetwork(params char[] characters)
{
Weights.GlobalLearningRate = 0.00005;
Weights.GlobalMu = 0.02;
configuration = LeNetConfiguration.FromCharacters(characters);
CreateNetwork();
}
public MarkingWeights(LeNetConfiguration configuration)
: base(configuration.ClassCount * LeNetNetwork.OutputFeedForwardNeurons)
{
if (configuration.Definitions == null) throw new ArgumentException();
ClassStateDefinitions = configuration.Definitions;
InputLength = LeNetNetwork.OutputFeedForwardNeurons;
ClassCount = configuration.ClassCount;
}
public MarkingStep(IList <Step> upstream, LeNetConfiguration configuration)
: base(configuration.ClassCount, upstream, true)
{
if (SizeOf(upstream) * upstream.Count != LeNetNetwork.OutputFeedForwardNeurons)
{
throw new ArgumentException();
}
weights = new MarkingWeights(configuration);
}
public MarkingWeights(LeNetConfiguration configuration) : base(configuration.ClassCount * LeNetNetwork.OutputFeedForwardNeurons)
{
if (configuration.Definitions == null)
{
throw new ArgumentException();
}
ClassStateDefinitions = configuration.Definitions;
InputLength = LeNetNetwork.OutputFeedForwardNeurons;
ClassCount = configuration.ClassCount;
}
public static LeNetConfiguration FromCharacters(params char[] characters)
{
LeNetConfiguration result = new LeNetConfiguration(characters.Length);
Array.Copy(characters, result.Characters, characters.Length);
for (int i = 0; i < characters.Length; i++)
{
char character = characters[i];
if (characters.Count(item => character == item) > 1) throw new ArgumentException();
double[] definition = GenerateCharacterDefinition(character);
Array.Copy(definition, 0, result.Definitions, i * LeNetNetwork.OutputFeedForwardNeurons, definition.Length);
}
return result;
}
public static LeNetConfiguration FromCharacters(params char[] characters)
{
LeNetConfiguration result = new LeNetConfiguration(characters.Length);
Array.Copy(characters, result.Characters, characters.Length);
for (int i = 0; i < characters.Length; i++)
{
char character = characters[i];
if (characters.Count(item => character == item) > 1)
{
throw new ArgumentException();
}
double[] definition = GenerateCharacterDefinition(character);
Array.Copy(definition, 0, result.Definitions, i * LeNetNetwork.OutputFeedForwardNeurons, definition.Length);
}
return(result);
}
public MarkingStep(IList<Step> upstream, LeNetConfiguration configuration)
: base(configuration.ClassCount, upstream, true)
{
if (SizeOf(upstream) * upstream.Count != LeNetNetwork.OutputFeedForwardNeurons) throw new ArgumentException();
weights = new MarkingWeights(configuration);
}
public MarkingStep(Step upstream, LeNetConfiguration configuration)
: this(new[] { upstream }, configuration)
{
}
public MarkingStep(Step upstream, LeNetConfiguration configuration)
: this(new[] { upstream }, configuration)
{
}
