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TensorFlow-Models
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This repository contains machine learning models implemented in TensorFlow. The models are maintained by their respective authors. To propose a model for inclusion, please submit a pull request.

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Martin Wicke 82f2ee4552 Update README.md 9 gadi atpakaļ
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 gadi atpakaļ
autoencoder a472ac9525 merged changes from #25 9 gadi atpakaļ
inception 81f12def85 Fixed confusing wording 9 gadi atpakaļ
namignizer 76f567df5f add the namignizer model (#147) 9 gadi atpakaļ
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 gadi atpakaļ
resnet a591478c76 Add resnet model. (#273) 9 gadi atpakaļ
swivel 857226896e remove unneeded assignment 9 gadi atpakaļ
syntaxnet a5d45f2ed2 fixed URL for pretrained syntactic models 9 gadi atpakaļ
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 gadi atpakaļ
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 gadi atpakaļ
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 gadi atpakaļ
AUTHORS 41c52d60fe Spatial Transformer model 9 gadi atpakaļ
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 9 gadi atpakaļ
LICENSE 7c41e653dc Update LICENSE 9 gadi atpakaļ
README 70702f79c7 Autoencoders 9 gadi atpakaļ
README.md 82f2ee4552 Update README.md 9 gadi atpakaļ

README

Very simple implementations of some autoencoder variations