public override Volume Forward(Volume input, bool isTraining = false)
{
this.InputActivation = input;
var output = input.Clone();
var length = input.Weights.Length;
if (isTraining)
{
// do dropout
for (var i = 0; i < length; i++)
{
if (Random.NextDouble() < this.DropProb.Value)
{
output.Weights[i] = 0;
this.dropped[i] = true;
} // drop!
else
{
this.dropped[i] = false;
}
}
}
else
{
// scale the activations during prediction
for (var i = 0; i < length; i++)
{
output.Weights[i] *= 1 - this.DropProb.Value;
}
}
this.OutputActivation = output;
return(this.OutputActivation); // dummy identity function for now
}
public void CloneTest()
{
var vol = new Volume(10, 10, 10);
var clone = vol.Clone();
for (int i = 0; i < vol.Length; i++)
{
Assert.AreEqual(vol.Get(i), clone.Get(i));
}
}
public override Volume Forward(Volume input, bool isTraining = false)
{
this.InputActivation = input;
var output = input.Clone();
var length = input.Weights.Length;
double[] outputWeights = output.Weights;
#if PARALLEL
Parallel.For(0, length, i =>
#else
for (var i = 0; i < length; i++)
#endif
{
if (outputWeights[i] < 0)
{
outputWeights[i] = 0; // threshold at 0
}
}
public void Mute()
{
_lastKnownVolume = Volume.Clone();
Volume = new Volume(0);
}
