activation_gelu         Gelu
activation_hardshrink   Hardshrink
activation_lisht        Lisht
activation_mish         Mish
activation_rrelu        Rrelu
activation_softshrink   Softshrink
activation_sparsemax    Sparsemax
activation_tanhshrink   Tanhshrink
attention_bahdanau      Bahdanau Attention
attention_bahdanau_monotonic
                        Bahdanau Monotonic Attention
attention_luong         Implements Luong-style (multiplicative)
                        attention scoring.
attention_luong_monotonic
                        Monotonic attention mechanism with Luong-style
                        energy function.
attention_monotonic     Monotonic attention
attention_wrapper       Attention Wrapper
attention_wrapper_state
                        Attention Wrapper State
callback_average_model_checkpoint
                        Average Model Checkpoint
callback_time_stopping
                        Time Stopping
callback_tqdm_progress_bar
                        TQDM Progress Bar
crf_binary_score        CRF binary score
crf_decode              CRF decode
crf_decode_backward     CRF decode backward
crf_decode_forward      CRF decode forward
crf_forward             CRF forward
crf_log_likelihood      CRF log likelihood
crf_log_norm            CRF log norm
crf_multitag_sequence_score
                        CRF multitag sequence score
crf_sequence_score      CRF sequence score
crf_unary_score         CRF unary score
decode_dynamic          Dynamic decode
decoder                 An RNN Decoder abstract interface object.
decoder_base            Base Decoder
decoder_basic           Basic Decoder
decoder_basic_output    Basic decoder output
decoder_beam_search     BeamSearch sampling decoder
decoder_beam_search_output
                        Beam Search Decoder Output
decoder_beam_search_state
                        Beam Search Decoder State
decoder_final_beam_search_output
                        Final Beam Search Decoder Output
extend_with_decoupled_weight_decay
                        Factory function returning an optimizer class
                        with decoupled weight decay
gather_tree             Gather tree
gather_tree_from_array
                        Gather tree from array
hardmax                 Hardmax
img_adjust_hsv_in_yiq   Adjust hsv in yiq
img_angles_to_projective_transforms
                        Angles to projective transforms
img_blend               Blend
img_compose_transforms
                        Compose transforms
img_connected_components
                        Connected components
img_cutout              Cutout
img_dense_image_warp    Dense image warp
img_equalize            Equalize
img_euclidean_dist_transform
                        Euclidean dist transform
img_flat_transforms_to_matrices
                        Flat transforms to matrices
img_from_4D             From 4D image
img_get_ndims           Get ndims
img_interpolate_bilinear
                        Interpolate bilinear
img_interpolate_spline
                        Interpolate spline
img_matrices_to_flat_transforms
                        Matrices to flat transforms
img_mean_filter2d       Mean filter2d
img_median_filter2d     Median filter2d
img_random_cutout       Random cutout
img_random_hsv_in_yiq   Random hsv in yiq
img_resampler           Resampler
img_rotate              Rotate
img_sharpness           Sharpness
img_shear_x             Shear x-axis
img_shear_y             Shear y-axis
img_sparse_image_warp   Sparse image warp
img_to_4D               To 4D image
img_transform           Transform
img_translate           Translate
img_translate_xy        Translate xy dims
img_translations_to_projective_transforms
                        Translations to projective transforms
img_unwrap              Uwrap
img_wrap                Wrap
install_tfaddons        Install TensorFlow SIG Addons
layer_activation_gelu   Gaussian Error Linear Unit
layer_correlation_cost
                        Correlation Cost Layer.
layer_filter_response_normalization
                        FilterResponseNormalization
layer_group_normalization
                        Group normalization layer
layer_instance_normalization
                        Instance normalization layer
layer_maxout            Maxout layer
layer_multi_head_attention
                        Keras-based multi head attention layer
layer_nas_cell          Neural Architecture Search (NAS) recurrent
                        network cell.
layer_norm_lstm_cell    LSTM cell with layer normalization and
                        recurrent dropout.
layer_poincare_normalize
                        Project into the Poincare ball with norm <= 1.0
                        - epsilon
layer_sparsemax         Sparsemax activation function
layer_weight_normalization
                        Weight Normalization layer
lookahead_mechanism     Lookahead mechanism
loss_contrastive        Contrastive loss
loss_giou               Implements the GIoU loss function.
loss_hamming            Hamming loss
loss_lifted_struct      Lifted structured loss
loss_npairs             Npairs loss
loss_npairs_multilabel
                        Npairs multilabel loss
loss_pinball            Pinball loss
loss_sequence           Weighted cross-entropy loss for a sequence of
                        logits.
loss_sigmoid_focal_crossentropy
                        Sigmoid focal crossentropy loss
loss_sparsemax          Sparsemax loss
loss_triplet_hard       Triplet hard loss
loss_triplet_semihard   Triplet semihard loss
metric_cohen_kappa      Computes Kappa score between two raters
metric_fbetascore       FBetaScore
metric_hamming_distance
                        Hamming distance
metric_mcc              MatthewsCorrelationCoefficient
metric_multilabel_confusion_matrix
                        MultiLabelConfusionMatrix
metric_rsquare          RSquare This is also called as coefficient of
                        determination. It tells how close are data to
                        the fitted regression line. Highest score can
                        be 1.0 and it indicates that the predictors
                        perfectly accounts for variation in the target.
                        Score 0.0 indicates that the predictors do not
                        account for variation in the target. It can
                        also be negative if the model is worse.
metrics_f1score         F1Score
optimizer_conditional_gradient
                        Conditional Gradient
optimizer_decay_adamw   Optimizer that implements the Adam algorithm
                        with weight decay
optimizer_decay_sgdw    Optimizer that implements the Momentum
                        algorithm with weight_decay
optimizer_lamb          Layer-wise Adaptive Moments
optimizer_lazy_adam     Lazy Adam
optimizer_moving_average
                        Moving Average
optimizer_novograd      NovoGrad
optimizer_radam         Rectified Adam (a.k.a. RAdam)
optimizer_swa           Stochastic Weight Averaging
optimizer_yogi          Yogi
parse_time              Parse time
register_all            Register all
register_custom_kernels
                        Register custom kernels
register_keras_objects
                        Register keras objects
safe_cumprod            Safe cumprod
sample_bernoulli        Bernoulli sample
sample_categorical      Categorical sample
sampler                 Sampler
sampler_custom          Base abstract class that allows the user to
                        customize sampling.
sampler_greedy_embedding
                        Greedy Embedding Sampler
sampler_inference       Inference Sampler
sampler_sample_embedding
                        Sample Embedding Sampler
sampler_scheduled_embedding_training
                        A training sampler that adds scheduled sampling
sampler_scheduled_output_training
                        Scheduled Output Training Sampler
sampler_training        A Sampler for use during training.
skip_gram_sample        Skip gram sample
skip_gram_sample_with_text_vocab
                        Skip gram sample with text vocab
tfaddons_version        Version of TensorFlow SIG Addons
tile_batch              Tile batch
viterbi_decode          Viterbi decode
