Deep Learning: GANs and Variational Autoencoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

Variational autoencoders and GANs have been 2 of the most interesting developments in deep learning and machine learning recently. 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.

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What Will I 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

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