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tfaddons
View on CRAN: Click
here
Download and install tfaddons package within the R console
Install from CRAN:
install.packages("tfaddons")
Install from Github:
library("remotes")
install_github("cran/tfaddons")
Install by package version:
library("remotes")
install_version("tfaddons", "0.10.0")
Attach the package and use:
library("tfaddons")
Maintained by
Turgut Abdullayev
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.tfaddons . https://github.com/henry090/tfaddons/issues . https://github.com/henry090/tfaddons . tfaddons results . tfaddons.pdf . tfaddons_0.10.0.tar.gz . tfaddons_0.10.0.zip . tfaddons_0.10.0.zip . tfaddons_0.10.0.zip . tfaddons_0.10.0.tgz . tfaddons_0.10.0.tgz . tfaddons_0.10.0.tgz . tfaddons_0.10.0.tgz . https://CRAN.R-project.org/package=tfaddons .
First Published: 2020-06-02
Latest Update: 2020-06-02
Description:
'TensorFlow SIG Addons' <https://www.tensorflow.org/addons> is a repository of community contributions that conform to well-established API patterns, but implement new functionality not available in core 'TensorFlow'. 'TensorFlow' natively supports a large number of operators, layers, metrics, losses, optimizers, and more. However, in a fast moving field like Machine Learning, there are many interesting new developments that cannot be integrated into core 'TensorFlow' (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).
How to cite:
Turgut Abdullayev (2020). tfaddons: Interface to 'TensorFlow SIG Addons'. R package version 0.10.0, https://cran.r-project.org/web/packages/tfaddons. Accessed 06 May. 2025.
Previous versions and publish date:
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Complete documentation for tfaddons
Functions, R codes and Examples using
the tfaddons R package
Some associated functions: activation_gelu . activation_hardshrink . activation_lisht . activation_mish . activation_rrelu . activation_softshrink . activation_sparsemax . activation_tanhshrink . attention_bahdanau . attention_bahdanau_monotonic . attention_luong . attention_luong_monotonic . attention_monotonic . attention_wrapper . attention_wrapper_state . callback_average_model_checkpoint . callback_time_stopping . callback_tqdm_progress_bar . crf_binary_score . crf_decode . crf_decode_backward . crf_decode_forward . crf_forward . crf_log_likelihood . crf_log_norm . crf_multitag_sequence_score . crf_sequence_score . crf_unary_score . decode_dynamic . decoder . decoder_base . decoder_basic . decoder_basic_output . decoder_beam_search . decoder_beam_search_output . decoder_beam_search_state . decoder_final_beam_search_output . extend_with_decoupled_weight_decay . gather_tree . gather_tree_from_array . hardmax . img_adjust_hsv_in_yiq . img_angles_to_projective_transforms . img_blend . img_compose_transforms . img_connected_components . img_cutout . img_dense_image_warp . img_equalize . img_euclidean_dist_transform . img_flat_transforms_to_matrices . img_from_4D . img_get_ndims . img_interpolate_bilinear . img_interpolate_spline . img_matrices_to_flat_transforms . img_mean_filter2d . img_median_filter2d . img_random_cutout . img_random_hsv_in_yiq . img_resampler . img_rotate . img_sharpness . img_shear_x . img_shear_y . img_sparse_image_warp . img_to_4D . img_transform . img_translate . img_translate_xy . img_translations_to_projective_transforms . img_unwrap . img_wrap . install_tfaddons . layer_activation_gelu . layer_correlation_cost . layer_filter_response_normalization . layer_group_normalization . layer_instance_normalization . layer_maxout . layer_multi_head_attention . layer_nas_cell . layer_norm_lstm_cell . layer_poincare_normalize . layer_sparsemax . layer_weight_normalization . lookahead_mechanism . loss_contrastive . loss_giou . loss_hamming . loss_lifted_struct . loss_npairs . loss_npairs_multilabel . loss_pinball . loss_sequence . loss_sigmoid_focal_crossentropy . loss_sparsemax . loss_triplet_hard . loss_triplet_semihard . metric_cohen_kappa . metric_fbetascore . metric_hamming_distance . metric_mcc . metric_multilabel_confusion_matrix . metric_rsquare . metrics_f1score . optimizer_conditional_gradient . optimizer_decay_adamw . optimizer_decay_sgdw . optimizer_lamb . optimizer_lazy_adam . optimizer_moving_average . optimizer_novograd . optimizer_radam . optimizer_swa . optimizer_yogi . parse_time . reexports . register_all . register_custom_kernels . register_keras_objects . safe_cumprod . sample_bernoulli . sample_categorical . sampler . sampler_custom . sampler_greedy_embedding . sampler_inference . sampler_sample_embedding . sampler_scheduled_embedding_training . sampler_scheduled_output_training . sampler_training . skip_gram_sample . skip_gram_sample_with_text_vocab . tfaddons_version . tile_batch . viterbi_decode .
Some associated R codes: activations.R . callbacks.R . image_ops.R . image_ops_.R . install.R . layers.R . losses.R . metrics.R . optimizers.R . optimizers_.R . package.R . reexports.R . register_objects.R . rnn.R . samplers.R . seq2seq.R . text_ops.R . utils.R . weight_decay_optimizers.R . Full tfaddons package functions and examples
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