How to use Variational Autoencoder and Generative Adversarial Networks

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Google software engineer and computational artist Zaria Howard explains the concepts behind variational autoencoders (VAE) and generative adversarial networks (GAN), including how combining the two models can overcome the pitfalls of using them individually to generate new images.

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Tech Bytes is a series highlighting Black women engineers and developers at Google who are experts in their field.

Music by Jocelyn Mildner

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Progressive growing of GANS for improved quality, stability, and variation →

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