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.
Daniel Julius Lasiman
40b830a5a6
Add Inception-ResNet-v2 pre-trained model
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| .github | 9 rokov pred | |
| autoencoder | 10 rokov pred | |
| compression | 9 rokov pred | |
| im2txt | 9 rokov pred | |
| inception | 9 rokov pred | |
| namignizer | 9 rokov pred | |
| neural_gpu | 9 rokov pred | |
| privacy | 9 rokov pred | |
| resnet | 9 rokov pred | |
| slim | 9 rokov pred | |
| swivel | 9 rokov pred | |
| syntaxnet | 9 rokov pred | |
| textsum | 9 rokov pred | |
| transformer | 9 rokov pred | |
| .gitignore | 9 rokov pred | |
| .gitmodules | 9 rokov pred | |
| AUTHORS | 10 rokov pred | |
| CONTRIBUTING.md | 10 rokov pred | |
| LICENSE | 10 rokov pred | |
| README.md | 9 rokov pred |
README.md
TensorFlow Models
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.
Models
- autoencoder -- various autoencoders
- inception -- deep convolutional networks for computer vision
- namignizer -- recognize and generate names
- neural_gpu -- highly parallel neural computer
- privacy -- privacy-preserving student models from multiple teachers
- resnet -- deep and wide residual networks
- slim -- image classification models in TF-Slim
- swivel -- the Swivel algorithm for generating word embeddings
- syntaxnet -- neural models of natural language syntax
- textsum -- sequence-to-sequence with attention model for text summarization.
- transformer -- spatial transformer network, which allows the spatial manipulation of data within the network
- im2txt -- image-to-text neural network for image captioning.