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Tensorflow-101

嗨!在這裡我把Tensorflow 官網教學翻譯成中文以及我自己在 ipython 的實作程式碼記錄在 Jupyter Notebook 裡,歡迎大家取用.

  1. Logistic Regression

  2. Softmax Regressions with MNIST

  3. Convolutional Network with MNIST

  4. CNN layer visualization

  5. Save and Restore Model

  6. Autoencoder

  7. Sparse Autoencoder

  8. Convolutional Autoencoder

  9. Denoising Autoencoder

  10. Variational Autoencoder

  11. Reccurent Neural Network with MNIST

  12. Char RNN

  13. word2vec

  14. Generative Adversarial Network with MNIST

  15. DCGAN with MNIST

License

The MIT License (MIT)

Copyright (c) 2016 c1mone

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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中文的 tensorflow tutorial with jupyter notebooks

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