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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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Evan Lezar d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 anni fa
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 anni fa
autoencoder a472ac9525 merged changes from #25 9 anni fa
inception fb1e92ad0d Merge pull request #200 from DrewNF/master 9 anni fa
namignizer 76f567df5f add the namignizer model (#147) 9 anni fa
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 anni fa
swivel 857226896e remove unneeded assignment 9 anni fa
syntaxnet a1c24d6d80 Fix linkage of UnpackSparseFeatures op so kernel is registered 9 anni fa
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 anni fa
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 anni fa
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 anni fa
AUTHORS 41c52d60fe Spatial Transformer model 9 anni fa
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 9 anni fa
LICENSE 7c41e653dc Update LICENSE 9 anni fa
README 70702f79c7 Autoencoders 9 anni fa
README.md bbeaa26caf added license, minor adjustments to README.md's. 9 anni fa

README

Very simple implementations of some autoencoder variations