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Deep Learning: GANs and Variational Autoencoders

 Variational autoencoders and GANs have been 2 of the most interesting developments in deep learning and machine learning recently.
 Deep Learning: GANs and Variational Autoencoders
What you'll learn
  • Learn the basic principles of generative models
  • Build a variational autoencoder in Theano and Tensorflow
  • Build a GAN (Generative Adversarial Network) in Theano and Tensorflow
 Yann LeCun, a deep learning pioneer, has said that the most important development in recent years has been adversarial training, referring to GANs.GAN stands for generative adversarial network, where 2 neural networks compete with each other.
What is unsupervised learning?
Unsupervised learning means we’re not trying to map input data to targets, we’re just trying to learn the structure of that input data.
Once we’ve learned that structure, we can do some pretty cool things.
One example is generating poetry - we’ve done examples of this in the past.
But poetry is a very specific thing, how about writing in general?
If we can learn the structure of language, we can generate any kind of text. In fact, big companies are putting in lots of money to research how the news can be written by machines.
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