tf.contrib.nn

 

upper level

 

Modules

 

None

 

Classes

 

None

 

Functions

 

alpha_dropout(…):

Computes alpha dropout.

conv1d_transpose(…):

The transpose of conv1d.

deprecated_flipped_sigmoid_cross_entropy_with_logits(…):

Computes sigmoid cross entropy given logits.

deprecated_flipped_softmax_cross_entropy_with_logits(…):

Computes softmax cross entropy between logits and labels.

deprecated_flipped_sparse_softmax_cross_entropy_with_logits(…):

Computes sparse softmax cross entropy between logits and labels.

nth_element(…):

Finds values of the n-th order statistic for the last dmension.

rank_sampled_softmax_loss(…):

Computes softmax loss using rank-based adaptive resampling.

sampled_sparse_softmax_loss(…):

Computes and returns the sampled sparse softmax training loss.

scaled_softplus(…):

Returns y = alpha * ln(1 + exp(x / alpha)) or min(y, clip).