Completion Certificate for Generative Adversarial Networks (GANs)

Completed by Shao Ying Huang

January 13, 2021

Approximately 2 months at 10 hours a week to complete

Shao Ying Huang's account is verified. Coursera certifies their successful completion of DeepLearning.AI Generative Adversarial Networks (GANs) Specialization.

Course Certificates Completed

Build Basic Generative Adversarial Networks (GANs)

Build Better Generative Adversarial Networks (GANs)

Apply Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs)

DeepLearning.AI

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45K Students Enrolled

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What you will learn

Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN
Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques
Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation