block11.csharp.cs

// train one epoch on batches
loss[epoch] = 0.0;
trainingError[epoch] = 0.0;
batchCount = 0;
training_data.Index().Shuffle().Batch(batchSize, (indices, begin, end) =>
{
    // get the current batch
    var featureBatch = features.GetBatch(training_data, indices, begin, end);
    var labelBatch = labels.GetBatch(training_labels, indices, begin, end);

    // train the network on the batch
    var result = trainer.TrainBatch(
        new[] {
            (features, featureBatch),
            (labels,  labelBatch)
        },
        false
    );
    loss[epoch] += result.Loss;
    trainingError[epoch] += result.Evaluation;
    batchCount++;
});

// show results
loss[epoch] /= batchCount;
trainingError[epoch] /= batchCount;
Console.Write($"{epoch}\t{loss[epoch]:F3}\t{trainingError[epoch]:F3}\t");

// testing code goes here...