LostTech.TensorFlow : API Documentation

Type training_eager

Namespace tensorflow.python.keras.engine.training_eager

Methods

Properties

Public static methods

IDictionary<string, object> test_on_batch(Model model, ndarray inputs, IEnumerable<object> targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase inputs, IEnumerable<object> targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase inputs, ndarray targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> inputs, IGraphNodeBase targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> inputs, IEnumerable<object> targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> inputs, ndarray targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> inputs, IGraphNodeBase targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> inputs, IEnumerable<object> targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> inputs, ndarray targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray inputs, ndarray targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase inputs, IGraphNodeBase targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray inputs, IGraphNodeBase targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

object test_on_batch_dyn(object model, object inputs, object targets, object sample_weights, object output_loss_metrics)

IDictionary<string, object> train_on_batch(object model, object inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(object model, IEnumerable<IGraphNodeBase> inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(object model, IDictionary<string, object> inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(object model, ndarray inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(Model model, object inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(Model model, IEnumerable<IGraphNodeBase> inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(Model model, IDictionary<string, object> inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

IDictionary<string, object> train_on_batch(Model model, ndarray inputs, object targets, object sample_weights, IEnumerable<Mean> output_loss_metrics)

object train_on_batch_dyn(object model, object inputs, object targets, object sample_weights, object output_loss_metrics)

Public properties

PythonFunctionContainer test_on_batch_fn get;

PythonFunctionContainer train_on_batch_fn get;