private void runEpoch(NeuralNetwork net)
{
// loop on batches
foreach (var batch in TrainingSample.Batch(m_BatchSize))
{
runBatch(net, batch);
}
// update epoch stats
m_Epoch++;
m_Iteration = 0;
m_Batch = 0;
if (EpochEndedEvent != null)
{
EpochEndedEvent(this, EventArgs.Empty);
}
}
private void runEpoch()
{
// loop on batches
//int b = 0;
foreach (var batch in TrainingSample.Batch(m_BatchSize))
{
runBatch(batch);
//if ((++b) % 10000 == 0) Console.WriteLine("Batch: {0} ({1} iters)", b, b*BatchSize);
}
// update epoch stats
m_Epoch++;
m_Iteration = 0;
m_Batch = 0;
m_LearningRate = m_LearningRateScheduler.GetRate(m_Epoch);
if (EpochEndedEvent != null)
{
EpochEndedEvent(this, EventArgs.Empty);
}
}