79387bef37dba5cea7c8b48b73179455 *DESCRIPTION
794905cf83db82071ff550692073c8b6 *NAMESPACE
abb250e48e0878fa1f2b0cb96dd3c710 *NEWS.md
aeb3af987b0ca2984e14ecc598fea1ba *R/applications.R
a1d3dd222074c5f53840d10643e78c6f *R/callbacks.R
3be5a1c04843d26d7940749fd9fda452 *R/constraints.R
5b3ee538c42747d4c09294146e859c85 *R/datasets.R
7dc74d5a45dab855c876ff6d1b3f7fea *R/initalizers.R
32cd98fb3330b6b9cc1e9c6eabf156a5 *R/kerasR-package.R
3604ba580cb0c886d95d50b31aa52c1c *R/keras_init.R
79bfc9ab163149e37bd02c9a15589491 *R/layers.advanced_activations.R
244374afd2cb334f8b5d465c4a3b9be2 *R/layers.convolutional.R
1f6f478e3e56c46ee1e7d40670613222 *R/layers.core.R
2dfc0967839e04b458e73068b1ca1659 *R/layers.embeddings.R
c241289ce6b52b77ee189fb9542fea78 *R/layers.local.R
c25eb7e39754aa2a211ad1732cc6d8f4 *R/layers.noise.R
3bbc62768e482cdd5968537e1d5e7468 *R/layers.normalization.R
f77badffce1bbde387eabd1df0505a14 *R/layers.pooling.R
5337e3f7924d61b0a3613ac93a12356d *R/layers.recurrent.R
5f65297d065a5fdf0d15273436db2074 *R/layers.wrappers.R
c4c5ff85609678b49d8532a8a8487ec7 *R/models.R
9fb0c6a98d95deae8f10aa2e026d7ced *R/onLoad.R
b9bd9b93e336105e1c8d809425d5558f *R/optimizers.R
f34858ad83a8087ccf37a4fdd7b6fc9a *R/preprocessing.R
aeb247380b9bb687a6a6118884eecae5 *R/regularizers.R
9ff16b2ec9afd0d5a9300be6587877c2 *R/utils.R
bcc1307f4f43b5d961214b8e83b03005 *R/zzz.R
60c3a43fdeeb5409deb56d6fc1d986ed *build/vignette.rds
59f50e1ac968e3aa0e08b1a0c944d5c6 *inst/doc/introduction.R
61fcaca93ded5407ccc97ced7b0d8f59 *inst/doc/introduction.Rmd
ca7978452502d4cd3b926265fb1ff29f *inst/doc/introduction.html
ac7873bd3292bdb567546fc35cc3ddb0 *inst/examples/callbacks.R
abdd81142e4c4b352ceaf65ec83435e1 *inst/examples/constraints.R
83b0181502166667f365f25d57e9a211 *inst/examples/convolutional.R
7656ecbf66a6999a2eebec369408bbf9 *inst/examples/datasets.R
85e810706f91e55c5b31f02fbeac40fa *inst/examples/dropout.R
4d40d6a9fbdd2cd3da30e0b8b9773da8 *inst/examples/embeddings.R
2956b494389afcc7237c48dc9e3ed7fc *inst/examples/initializers.R
dde9cd8a12f3edbb5e36a8f1ed008f64 *inst/examples/layer_wrappers.R
d35d0c149cb5180769415b022051cffa *inst/examples/layers.R
9896306a4ccb77835a62dc42d2a94feb *inst/examples/layers_advanced_activations.R
1358c714c6e8417cff1fc5baa508993d *inst/examples/layers_normalization.R
657afe1e88404c5cfa44f6d8efe1cc2c *inst/examples/load_save.R
83b0181502166667f365f25d57e9a211 *inst/examples/local.R
5a7e062ddb937cf74fcc9e1ff38c5ec0 *inst/examples/noise.R
19ea8a326b89d13ef1a30632e851a9ce *inst/examples/optimizers.R
83b0181502166667f365f25d57e9a211 *inst/examples/pooling.R
028802ab1449f9d5fe60d3484055f9b0 *inst/examples/predict.R
36bd67b845709a9929cc3917d4bf4ea7 *inst/examples/recurrent.R
496de70744d1a03e2cd8badfde05cfdc *inst/examples/regularizers.R
54d0947f3ef1305aae516ec35ccf22ac *man/Activation.Rd
c55df6e3a037460a3bd38e261e126b46 *man/ActivityRegularization.Rd
9d6b0248c8bb992f97d820fe96b8d37e *man/AdvancedActivation.Rd
725a1116e3ffc6f7dfab6dd0ebee78ea *man/Applications.Rd
e8e3c39f98bdbcbaa3d45f87f790bfc6 *man/AveragePooling.Rd
24287374ead4a5d76f832bb77af8f8e8 *man/BatchNormalization.Rd
ec8afe1165b6c5dc5017808411b8538e *man/CSVLogger.Rd
2a7689e3a7037b4daba4c72015147982 *man/Constraints.Rd
e9f47e906dacce97db7d772fb26ed829 *man/Conv.Rd
e58fb2bb76b50812501fb93049d14aa9 *man/Cropping.Rd
267e0723e2a4552f4cc0fbd7c8b40853 *man/Datasets.Rd
9cd786a9f62d96faa9095ab82fa94c9d *man/Dense.Rd
bd3033871bb137f39023bda18e55e24f *man/Dropout.Rd
d55afe5b30f6e7c73c8d9545e19aaeb0 *man/EarlyStopping.Rd
09ba7d9321e7b7007638878a7ae82085 *man/Embedding.Rd
f62e90236ef9fcfafea66c6dd7e21d2f *man/Flatten.Rd
0e302ecee1b4a506ce48a18581db1a25 *man/GaussianNoise.Rd
26fc01dc378d30af79d91f06fd6bdf07 *man/GlobalPooling.Rd
620c2c8256243d36713aba43499fe5c1 *man/Initalizers.Rd
6445631dea7dede9a63c779e3ca46f9a *man/LayerWrapper.Rd
93b5d2c4c69b9ae4fd28ff1c9c1ccbd3 *man/LoadSave.Rd
dcf66841dca6f4c72b630723ef308a43 *man/LocallyConnected.Rd
c52c5b55adcdba6a32006a1ca66de761 *man/Masking.Rd
37a35fe8463fb88d3a44b73819054001 *man/MaxPooling.Rd
f591aca23637563fa9f535e131bcc83a *man/ModelCheckpoint.Rd
a00ee6c568b4b87c93791d9c4b0818cd *man/Optimizers.Rd
e9d0a1722a305b1ea989572d048144b4 *man/Permute.Rd
7e7aa8ce8e8952a4dbd61c2f8a38bab5 *man/Predict.Rd
0b7a8e4aef5a1f13227de2e886a7eebf *man/RNN.Rd
06edbf6d780b6a030049239242c5fb5f *man/ReduceLROnPlateau.Rd
8ff16f1367768bc9672a0575067b0d88 *man/Regularizers.Rd
649fdad9f3ca4bd9440c0ef7978f9561 *man/RepeatVector.Rd
448920b11d1476f2a459195ce74fca2c *man/Reshape.Rd
118fe7d435bb1ddf442656f8a4c631ab *man/Sequential.Rd
c7d59b549b9072c220e5b3366952c887 *man/TensorBoard.Rd
0afa480c13bea712f1f04a699c3242c8 *man/Tokenizer.Rd
fa5033f57eff7f3626ce98be13d34eff *man/UpSampling.Rd
b873a3b5e0717ea89e6b616f518c4994 *man/ZeroPadding.Rd
72d0acba42ab3acc3cf0207ff2ff7232 *man/decode_predictions.Rd
afc0fea928a23002fa351aa9b8866eea *man/expand_dims.Rd
417383fda646f6998a64d3f57ecd0801 *man/img_to_array.Rd
52125d83d80af56180a0eaead7ae53d6 *man/kerasR.Rd
e25179c45bf172d7c773e6eae17cb9a6 *man/keras_available.Rd
a5b91b0a1d4816357ca99b82aa2ca0f6 *man/keras_compile.Rd
f84085eb540a52e933a317982b651b38 *man/keras_fit.Rd
254d5afa030300a432e60ced6b54b0f1 *man/keras_init.Rd
9eb1759489ae85fb487c16a4ced9cb41 *man/load_img.Rd
3c84aa235d3ea8e907c8df31afee27c0 *man/normalize.Rd
f5004f413ed75a8510b5e779f8fd8939 *man/one_hot.Rd
83fb4f28882aa682838e200d3f1e8a81 *man/pad_sequences.Rd
8f36bed0a7666418289572924c06b0d3 *man/plot_model.Rd
1b1f018850d28b9be564034d432d8449 *man/preprocess_input.Rd
49af3218cb28c83db920e101a37691b4 *man/run_examples.Rd
4df84d1d948ea608d7485737f526e8ba *man/text_to_word_sequence.Rd
c8ea1bf57cc8c43945781296cc4a2e9e *man/to_categorical.Rd
5ba15f32bb43eb9ff0c2cdf7a32b44f0 *tests/testthat.R
3c703cd52e4f7b506841fe4d5a939141 *tests/testthat/test-dense.R
ac9ad3ca647b516fc4d22be4b387788d *vignettes/elephant.jpg
61fcaca93ded5407ccc97ced7b0d8f59 *vignettes/introduction.Rmd
