d8d3c03c146db9491794fef5e93ca71e *DESCRIPTION
d32239bcb673463ab874e80d47fae504 *LICENSE
334141119e03e5fe0a49ea53f386b246 *NAMESPACE
af28f8a99ca0cbb9b5386c64630cc566 *R/autoencoder.R
d471be9e03f135766f4e4ea4438d1c23 *R/autoencoder_contractive.R
b3d000044418f3b097a0f03d3ffc273e *R/autoencoder_denoising.R
2ac07ee1bcdbe1929195d629e8a42a00 *R/autoencoder_robust.R
150e6383436849e31d9af764f4e2eb8b *R/autoencoder_sparse.R
ae556b2fd366955148f6a424656aac16 *R/autoencoder_variational.R
62418dead255cd003e38755287594e5f *R/autoencoder_weight_decay.R
290678ea0c22176f508575ca8f4e4901 *R/classes.R
0087127e02f3ef11073baef213bd606a *R/derivative.R
762ee0150e505008fc8f83fea76df145 *R/evaluate.R
7374bc4a2f79716466fa7018d4fda340 *R/filter.R
03d51c3b340bb3abf6aa8615b4b43736 *R/generics.R
17a05f57f733fbbcb0c0f2bb22fd3dc2 *R/layers.R
6c32d6460f824cf220bd3f0a640354f6 *R/loss.R
bede30c642e857b0443edf8cab2982ee *R/network.R
e087497848712c074cdc107bdab419cf *R/network_plot.R
c6f213b2b47befab6ee771081cc553ce *R/save.R
faba24017b45a3fa54dbe6f41d18f8aa *R/util.R
d6150579266534e44a96749ace028b17 *README.md
03b41a8e42a8fe7a4ae21b4d85cbc33e *build/vignette.rds
38d29bcab22340651b570893f37a7d01 *inst/doc/architectures.R
c1864558329a1b8273b8ae9f4e71a546 *inst/doc/architectures.Rmd
4ac18632f2386d78e3f79b5d904477c5 *inst/doc/architectures.html
ff1508c06a6c7ad224e3ac051378b98e *man/add_weight_decay.Rd
d1965fee25f16c80a3af6419c1da4928 *man/apply_filter.Rd
bfa17f606e57320d1792b2d8b030a8c9 *man/as_loss.Rd
5ec882c3ed976f02d2b07f0f7c243547 *man/as_network.Rd
6c563b594fa6316a5ded1007e3c5f435 *man/autoencode.Rd
7917da557234f85682cca7a517236eda *man/autoencoder.Rd
6842e1d74a7446cca658c7286b58d27a *man/autoencoder_contractive.Rd
1be7c3899a3fc76fef5d9fdcbea9993c *man/autoencoder_denoising.Rd
d60c401b2b711ed9625c18735f220b75 *man/autoencoder_robust.Rd
4795cea90115652b441cff8f48c0aff8 *man/autoencoder_sparse.Rd
ff2a78ad73c31be88f34dd5bb7b3e0d6 *man/autoencoder_variational.Rd
056cfde565df37f04de81401168aa4f2 *man/contraction.Rd
161862b4a069063fd6667a33217b5624 *man/correntropy.Rd
743d78feea6a50949b6e56b7bb6e4b1c *man/decode.Rd
b83bccf34f24fa7b2014ef966d8e801c *man/dense.Rd
45df7d16213c11d31003abb1b5394578 *man/dropout.Rd
8067b49f22766062741aebdd45117dcd *man/encode.Rd
042767e4631361d0dbe9acfa1c00668d *man/encoding_index.Rd
5d4180f02b55d071b13a7fad804b5c98 *man/evaluate.Rd
4c1607ce5d95211ac62f4610541b5ae8 *man/evaluation_metric.Rd
f8184474eac05b3885602ead4aa02d4a *man/generate.Rd
3937d9d7adf08cbc34009678216e3748 *man/input.Rd
fcca6acadee465b2fce4fdf07fcbef9b *man/is_contractive.Rd
95b37711fb5af23602267727274f8bff *man/is_denoising.Rd
b78a20b9f357ece4dcda9ac2ac138f91 *man/is_robust.Rd
98b14ea50ae778e4f27cc1188d808464 *man/is_sparse.Rd
89c3aea189326d4bb70b3e9569921249 *man/is_trained.Rd
8943265413801ee895926c767c02c21a *man/is_variational.Rd
7b10fedbcbbc4f42f876b06a4720604c *man/join-networks.Rd
b98821d330f4ac7654de8d99497420df *man/layer_keras.Rd
ea7ede5319b02172552cfcde67b55bf8 *man/loss_variational.Rd
c29b64f18b31ddbaf781fd748aa90918 *man/make_contractive.Rd
16dadc5205f18ebf868c2750c162a2e3 *man/make_denoising.Rd
bf479e0b461da61e74bfaee4d0c88384 *man/make_robust.Rd
83c2ab3a260dad538b15245fa7b6f723 *man/make_sparse.Rd
96979e24588184b915cdf1529ab178bf *man/new_autoencoder.Rd
942dea96d208612d03abd5d4f0c0ddc5 *man/new_layer.Rd
b456370ddb77808edca4818e691b74e9 *man/new_network.Rd
6ca293844a3e0c80e6b3ed39521cda13 *man/noise.Rd
cdc427c300d95bb7690d9086038a5248 *man/noise_cauchy.Rd
642b8e92273b99666ee87abae9340dc1 *man/noise_gaussian.Rd
838d499677791ad4a2e5f4bb35f5b2cc *man/noise_ones.Rd
dda8e0f8ae7666da5ff2f866de7c61d6 *man/noise_saltpepper.Rd
129429ad747e28b2160c53bf08f821f1 *man/noise_zeros.Rd
807fd143b533fba54ee4888ea08980e0 *man/output.Rd
a725663948c0d002f4feb41bbd51ee06 *man/plot.ruta_network.Rd
1fec7c41553077f97464345385994721 *man/print-methods.Rd
a8b13c292dee2eb70ae942c46d96fa99 *man/reconstruct.Rd
fb72fe473aa26e844fe3e74827c62ca6 *man/save_as.Rd
41d106a7d6a567c198bdc910a286f712 *man/sparsity.Rd
102b1c271cb9fa2528329d0d2db4b891 *man/sub-.ruta_network.Rd
894af93c0f6f3a7b1c65f80b73352299 *man/to_keras.Rd
8184a7a2d9ac01fbd0c2ba33b4053206 *man/to_keras.ruta_autoencoder.Rd
64984d7bc58834412980508f762633b1 *man/to_keras.ruta_layer_input.Rd
d6c0ea22437ea0fd0dd82ed817970cc0 *man/to_keras.ruta_layer_variational.Rd
29ff52880635d28f75047e4ae81210de *man/to_keras.ruta_loss_named.Rd
093da6abc172e3abe0f897381566ae03 *man/to_keras.ruta_network.Rd
ec3b09f3b84ef51a6ce1fbc4cda7928e *man/to_keras.ruta_sparsity.Rd
119e8881db7bddca2cfcb0c7abb70593 *man/to_keras.ruta_weight_decay.Rd
a1e1f9a011fe3bc992a67d5fea67ba43 *man/train.ruta_autoencoder.Rd
a3a5ece1c2091b208dc468dc0ecd145f *man/variational_block.Rd
958c1671e21ba65cced1042df2a22b84 *man/weight_decay.Rd
4270e3d9f6f7a48bca98c686a6328112 *tests/testthat.R
f8b6fa6b2c388c4294612bffb7f22e49 *tests/testthat/test-autoencoders.R
b30fd52ab902a4efe07e26792d924976 *tests/testthat/test-layers.R
c1864558329a1b8273b8ae9f4e71a546 *vignettes/architectures.Rmd
7a990e460027f3872229277d5b8b1208 *vignettes/architectures_cache/html/__packages
984a4fc61ed393ced105b7a42117cf30 *vignettes/architectures_cache/html/custom_dbd07f636b95395a0adad26131116893.RData
5740b65626c34be7c0e8a0ea994fbe01 *vignettes/architectures_cache/html/custom_dbd07f636b95395a0adad26131116893.rdb
c2c76e52fca985740f557b419c2b4a12 *vignettes/architectures_cache/html/custom_dbd07f636b95395a0adad26131116893.rdx
02f31499fcd7c11d82438bc001b18dc0 *vignettes/architectures_cache/html/int_0e6908532050d32f5f8d3d4b5fad17ed.RData
e09bc489ac866bdf2fb60ec5e6651597 *vignettes/architectures_cache/html/int_0e6908532050d32f5f8d3d4b5fad17ed.rdb
39c5a9d0279055eec548e0e7eda4dce3 *vignettes/architectures_cache/html/int_0e6908532050d32f5f8d3d4b5fad17ed.rdx
3682b16355af776aa6266048c86fb5c6 *vignettes/architectures_cache/html/structure_7a0ca0699065c85a78f4e94b16ea6c84.RData
fcdae78728f7998fa51982d18fc9a137 *vignettes/architectures_cache/html/structure_7a0ca0699065c85a78f4e94b16ea6c84.rdb
9e185a2448e3da5d2c915f372d97c7b1 *vignettes/architectures_cache/html/structure_7a0ca0699065c85a78f4e94b16ea6c84.rdx
