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..
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GDN.md
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RevBlock.md
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apply_regularization.md
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avg_pool2d.md
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avg_pool3d.md
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batch_norm.md
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bias_add.md
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bow_encoder.md
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bucketized_column.md
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check_feature_columns.md
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conv1d.md
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conv2d.md
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conv2d_in_plane.md
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conv2d_transpose.md
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conv3d.md
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conv3d_transpose.md
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convolution.md
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create_feature_spec_for_parsing.md
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crossed_column.md
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dense_to_sparse.md
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dropout.md
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embed_sequence.md
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embedding_column.md
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embedding_lookup_unique.md
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feature_column.md
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flatten.md
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fully_connected.md
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gdn.md
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group_norm.md
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images_to_sequence.md
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infer_real_valued_columns.md
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input_from_feature_columns.md
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instance_norm.md
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joint_weighted_sum_from_feature_columns.md
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l1_l2_regularizer.md
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l1_regularizer.md
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l2_regularizer.md
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layer_norm.md
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legacy_fully_connected.md
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make_place_holder_tensors_for_base_features.md
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max_pool2d.md
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max_pool3d.md
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maxout.md
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multi_class_target.md
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one_hot_column.md
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one_hot_encoding.md
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optimize_loss.md
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parse_feature_columns_from_examples.md
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parse_feature_columns_from_sequence_examples.md
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real_valued_column.md
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recompute_grad.md
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regression_target.md
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repeat.md
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rev_block.md
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safe_embedding_lookup_sparse.md
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scattered_embedding_column.md
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separable_conv2d.md
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sequence_input_from_feature_columns.md
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sequence_to_images.md
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shared_embedding_columns.md
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softmax.md
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sparse_column_with_hash_bucket.md
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sparse_column_with_integerized_feature.md
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sparse_column_with_keys.md
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sparse_column_with_vocabulary_file.md
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spatial_softmax.md
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stack.md
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sum_regularizer.md
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summaries.md
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summarize_activation.md
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summarize_activations.md
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summarize_collection.md
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summarize_tensor.md
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summarize_tensors.md
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transform_features.md
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unit_norm.md
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variance_scaling_initializer.md
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weighted_sparse_column.md
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weighted_sum_from_feature_columns.md
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xavier_initializer.md
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