Generative-Adversarial-Networks-GANs-Specialization-Coursera
Overview
This specialization consists of three courses as follows:
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Build Basic Generative Adversarial Networks (GANs)
- Week 1: Intro to GANs.
- Week 2: Deep Convolutional GANs .
- Week 3: W-GAN with gredient penalty.
- Week 4: Conditional GAN and Controllable Generation.
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Build Better Generative Adversarial Networks (GANs)
- Week 1: Evaluation methods of GANs such as FID and IS.
- Week 2: GANs disadvantages and Bias.
- Week 3: StyleGAN architecture.
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Apply Generative Adversarial Networks (GANs)
- Week 1: GANs Applications such as Augmentation.
- Week 2: Image-to-image translation with Pix2Pix and U-Net architecture.
- Week 3: Unpaired translation with CycleGAN.
Repo Content
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Lecture Notes
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Assignments
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Extra Labs
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All papers discussed in this specialization
DeepLearning.ai and Coursera for presenting this great knowledge about GANs.
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