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# UPDATE (July 12, 2016)
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New **free MOOC course** covering all of this material in much more depth, as well as much more including combined variational autoencoders + generative adversarial networks, visualizing gradients, deep dream, style net, and recurrent networks: **https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow-i/info**
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# TensorFlow Tutorials
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You can find python source code under the `python` directory, and associated notebooks under `notebooks`.

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