Microsoft.ML.Vision Namespace
Important
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Namespace containing image classification components.
Classes
| ImageClassificationModelParameters |
Image Classification predictor. This class encapsulates the trained Deep Neural Network(DNN) model and is used to score images. |
| ImageClassificationTrainer |
The IEstimator<TTransformer> for training a Deep Neural Network(DNN) to classify images. |
| ImageClassificationTrainer.BottleneckMetrics |
Metrics for image featurization values. The input image is passed through the network and features are extracted from second or last layer to train a custom full connected layer that serves as classifier. |
| ImageClassificationTrainer.EarlyStopping |
Early Stopping feature stops training when monitored quantity stops improving'. Modeled after https://github.com/tensorflow/tensorflow/blob/00fad90125b18b80fe054de1055770cfb8fe4ba3/ tensorflow/python/keras/callbacks.py#L1143 |
| ImageClassificationTrainer.ImageClassificationMetrics |
Metrics for image classification bottleneck phase and training. Train metrics may be null when bottleneck phase is running, so have check! |
| ImageClassificationTrainer.Options |
Options class for ImageClassificationTrainer. |
| ImageClassificationTrainer.TrainMetrics |
DNN training metrics. |
Enums
| ImageClassificationTrainer.Architecture |
Image classification model. |
| ImageClassificationTrainer.EarlyStoppingMetric |
Indicates the metric to be monitored to decide Early Stopping criteria. |
| ImageClassificationTrainer.ImageClassificationMetrics.Dataset |
Indicates the kind of the dataset of which metric is reported. |