Generative Adversarial Networks

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Generative Deep Learning with TensorFlow (Coursera)

Dec 6th 2021
Generative Deep Learning with TensorFlow (Coursera)
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In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image; b) Build simple AutoEncoders on the familiar MNIST [...]
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Apply Generative Adversarial Networks (GANs) (Coursera)

In this course, you will: explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity; leverage the image-to-image translation framework and identify applications to modalities beyond images; implement Pix2Pix, a paired image-to-image translation GAN, to adapt satellite images into map routes (and vice versa); compare [...]
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Build Better Generative Adversarial Networks (GANs) (Coursera)

Nov 29th 2021
Build Better Generative Adversarial Networks (GANs) (Coursera)
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In this course, you will: Assess the challenges of evaluating GANs and compare different generative models; Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs; Identify sources of bias and the ways to detect it in GANs; Learn and implement the techniques associated [...]
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Build Basic Generative Adversarial Networks (GANs) (Coursera)

In this course, you will: Learn about GANs and their applications; Understand the intuition behind the fundamental components of GANs; Explore and implement multiple GAN architectures; Build conditional GANs capable of generating examples from determined categories.
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Average: 10 ( 4 votes )