Everything You Need To Know about GANs for Computer Vision

Discover the convolutional layers for upsampling, the GAN architecture, the algorithms for training the model and the best practices for configuring and training GANs.
Discover how to develop GANs starting with a 1D GAN, and progressing through black and white and color images and ending with performing vector arithmetic in latent space.
Discover how to incorporate class conditional information into GANs and add controls over the types of images generated by the model.
Discover advanced GAN models used for image translation both with and without paired examples in the training data.
Discover the advanced GAN models that push the limits of the architecture and are the basis for some of the impressive state-of-the-art results.

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Everything You Need To Know about GANs for Computer Vision

Discover the convolutional layers for upsampling, the GAN architecture, the algorithms for training the model and the best practices for configuring and training GANs.
Discover how to develop GANs starting with a 1D GAN, and progressing through black and white and color images and ending with performing vector arithmetic in latent space.
Discover how to incorporate class conditional information into GANs and add controls over the types of images generated by the model.
Discover advanced GAN models used for image translation both with and without paired examples in the training data.
Discover the advanced GAN models that push the limits of the architecture and are the basis for some of the impressive state-of-the-art results.

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Generative Adversarial Networks with Python

Discover how to bring Generative Adversarial Networks to your computer vision projects.

Everything You Need To Know about GANs for Computer Vision

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Everything You Need To Know about GANs for Computer Vision