Training the network

To train the convolutional network, we must perform both forward- and backward-propagation, as shown in the following example:

public virtual void Train(Volume<T> x, Volume<T> y)
{
Forward(x);
Backward(y);
}

The following screenshot illustrates our training in progress:

Testing the data

This section details the Test function, which will show us how to test the data we have trained. We get the network prediction and track the accuracy for each label that we have with the following command:

private void Test(Volume x, int[] labels, CircularBuffer<double> accuracy, bool forward = true)
{
if (forward)
{

Forward momentum can be found with the following code:

this._net.Forward(x);
}
var prediction...