High Resolution Generative Adversarial Networks (GANs)
Photorealistic image generation with Python and TensorFlow 2.0
4.43 (94 reviews)
1 095
students
7.5 hours
content
Jan 2022
last update
$13.99
regular price
What you will learn
Create a GAN capable of generating high resolution images using TensorFlow 2.0
Distribute training on a TPU or multiple GPUS
Implement the R2 loss function
Implement a scaled convolutional layer
Implement up-sampling and down-sampling layers
Implement mini-batch standard deviation to capture dataset variation
Generate infinite random images from a trained generator
Apply a perceptual path length filter to generated images
Generate interpolations between two different generated images
Related Topics
4478692
udemy ID
05/01/2022
course created date
11/01/2022
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