LostTech.TensorFlow : API Documentation

Type StochasticGradientDescentParameters

Namespace tensorflow.tpu.experimental

Parent _OptimizationParameters

Interfaces IStochasticGradientDescentParameters

Optimization parameters for stochastic gradient descent for TPU embeddings.

Pass this to tf.estimator.tpu.experimental.EmbeddingConfigSpec via the `optimization_parameters` argument to set the optimizer and its parameters. See the documentation for tf.estimator.tpu.experimental.EmbeddingConfigSpec for more details.

``` estimator = tf.estimator.tpu.TPUEstimator( ... embedding_config_spec=tf.estimator.tpu.experimental.EmbeddingConfigSpec( ... optimization_parameters=( tf.tpu.experimental.StochasticGradientDescentParameters(0.1)))) ```

Properties

Public properties

object clip_weight_max get; set;

object clip_weight_min get; set;

double learning_rate get; set;

object PythonObject get;

bool use_gradient_accumulation get; set;