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TensorFlow-Tutorials

Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano Tutorials.

Topics

Dependencies

  • TensorFlow 1.0 alpha
  • Numpy
  • matplotlib



# TensorFlow-Tutorials

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Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of

Newmu's [Theano Tutorials](https://github.com/Newmu/Theano-Tutorials).


***Topics***

* [Simple Multiplication](00_multiply.py)

* [Linear Regression](01_linear_regression.py)

* [Logistic Regression](02_logistic_regression.py)

* [Feedforward Neural Network (Multilayer Perceptron)](03_net.py)

* [Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o)](04_modern_net.py)

* [Convolutional Neural Network](05_convolutional_net.py)

* [Denoising Autoencoder](06_autoencoder.py)

* [Recurrent Neural Network (LSTM)](07_lstm.py)

* [Word2vec](08_word2vec.py)

* [TensorBoard](09_tensorboard.py)

* [Save and restore net](10_save_restore_net.py)

* [Generative Adversarial Network](11_gan.py)


***Dependencies***

* TensorFlow 1.0 alpha

* Numpy

* matplotlib



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