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MyEducationPath.com :: Kadenze : Creative Applications of Deep Learning with TensorFlow II
This course extends the course material from the first course on Creative Applications of Deep Learning, providing an updated landscape on the state of the art techniques in recurrent neural networks. We'll see how to use recurrent networks for modeling and generating images, text, handwriting, and attention. We begin by recapping what we've done up until now and show how to extend our practice to the cloud where we can make use of much better hardware including state-of-the- art GPU clusters. We'll also see how the models we train can be deployed for production environments. The techniques learned here will give us a much stronger basis for developing even more advanced algorithms in the final course of the program.
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