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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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Neal Wu a9d0e6e892 Converted slim models to TF 1.0 and fixed a few issues vor 8 Jahren
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autoencoder 31f1af580a Changed deprecated tf.initialize_all_variables() to tf.global_variables_initializer() vor 8 Jahren
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differential_privacy 31f1af580a Changed deprecated tf.initialize_all_variables() to tf.global_variables_initializer() vor 8 Jahren
im2txt 5ca1ef4900 Update TF install link. vor 8 Jahren
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street 31f1af580a Changed deprecated tf.initialize_all_variables() to tf.global_variables_initializer() vor 8 Jahren
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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
  • differential_privacy -- privacy-preserving student models from multiple teachers
  • im2txt -- image-to-text neural network for image captioning.
  • inception -- deep convolutional networks for computer vision
  • namignizer -- recognize and generate names
  • neural_gpu -- highly parallel neural computer
  • neural_programmer -- neural network augmented with logic and mathematic operations.
  • 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