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.
Mostafa Rahmani
d1baa18cbc
Update cifar10_input.py
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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.
- neural_programmer -- neural network augmented with logic and mathematic operations.