LostTech.TensorFlow : API Documentation

Type nn

Namespace tensorflow.contrib.nn

Methods

Properties

Public static methods

object alpha_dropout_(IGraphNodeBase x, double keep_prob, IEnumerable<int> noise_shape, object seed, string name)

object alpha_dropout_(IGraphNodeBase x, IEnumerable<double> keep_prob, IEnumerable<int> noise_shape, object seed, string name)

object alpha_dropout_(IGraphNodeBase x, int keep_prob, IEnumerable<int> noise_shape, object seed, string name)

object alpha_dropout_(IGraphNodeBase x, IGraphNodeBase keep_prob, IEnumerable<int> noise_shape, object seed, string name)

object alpha_dropout_(IGraphNodeBase x, PythonClassContainer keep_prob, IEnumerable<int> noise_shape, object seed, string name)

object alpha_dropout__dyn(object x, object keep_prob, object noise_shape, object seed, object name)

Tensor deprecated_flipped_sigmoid_cross_entropy_with_logits(object logits, IGraphNodeBase targets, string name)

object deprecated_flipped_sigmoid_cross_entropy_with_logits_dyn(object logits, object targets, object name)

Tensor deprecated_flipped_softmax_cross_entropy_with_logits(object logits, object labels, int dim, string name)

object deprecated_flipped_softmax_cross_entropy_with_logits_dyn(object logits, object labels, ImplicitContainer<T> dim, object name)

Tensor deprecated_flipped_sparse_softmax_cross_entropy_with_logits(object logits, object labels, string name)

object deprecated_flipped_sparse_softmax_cross_entropy_with_logits_dyn(object logits, object labels, object name)

Tensor rank_sampled_softmax_loss(IGraphNodeBase weights, IGraphNodeBase biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, IGraphNodeBase resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IGraphNodeBase weights, IGraphNodeBase biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, double resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IGraphNodeBase weights, IEnumerable<IGraphNodeBase> biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, IGraphNodeBase resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IGraphNodeBase weights, IEnumerable<IGraphNodeBase> biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, double resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IEnumerable<IGraphNodeBase> weights, IEnumerable<IGraphNodeBase> biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, double resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IEnumerable<IGraphNodeBase> weights, IGraphNodeBase biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, double resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IEnumerable<IGraphNodeBase> weights, IEnumerable<IGraphNodeBase> biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, IGraphNodeBase resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

Tensor rank_sampled_softmax_loss(IEnumerable<IGraphNodeBase> weights, IGraphNodeBase biases, IGraphNodeBase labels, IGraphNodeBase inputs, int num_sampled, int num_resampled, int num_classes, int num_true, Nullable<ValueTuple<IEnumerable<int>, object, object>> sampled_values, IGraphNodeBase resampling_temperature, bool remove_accidental_hits, string partition_strategy, string name)

object rank_sampled_softmax_loss_dyn(object weights, object biases, object labels, object inputs, object num_sampled, object num_resampled, object num_classes, object num_true, object sampled_values, object resampling_temperature, object remove_accidental_hits, object partition_strategy, object name)

Tensor sampled_sparse_softmax_loss(object weights, IGraphNodeBase biases, IGraphNodeBase labels, IGraphNodeBase inputs, object num_sampled, object num_classes, object sampled_values, bool remove_accidental_hits, string partition_strategy, string name)

object sampled_sparse_softmax_loss_dyn(object weights, object biases, object labels, object inputs, object num_sampled, object num_classes, object sampled_values, ImplicitContainer<T> remove_accidental_hits, ImplicitContainer<T> partition_strategy, ImplicitContainer<T> name)

ValueTuple<Tensor> scaled_softplus_(IGraphNodeBase x, IGraphNodeBase alpha, IGraphNodeBase clip, string name)

ValueTuple<Tensor> scaled_softplus_(IGraphNodeBase x, IGraphNodeBase alpha, float32 clip, string name)

object scaled_softplus__dyn(object x, object alpha, object clip, object name)

Public properties

PythonFunctionContainer alpha_dropout__fn get;

PythonFunctionContainer deprecated_flipped_sigmoid_cross_entropy_with_logits_fn get;

PythonFunctionContainer deprecated_flipped_softmax_cross_entropy_with_logits_fn get;

PythonFunctionContainer deprecated_flipped_sparse_softmax_cross_entropy_with_logits_fn get;

PythonFunctionContainer rank_sampled_softmax_loss_fn get;

PythonFunctionContainer sampled_sparse_softmax_loss_fn get;

PythonFunctionContainer scaled_softplus__fn get;