Introduction to Generative Adversarial Networks
- Offered byUDACITY
Introduction to Generative Adversarial Networks at UDACITY Overview
Introduction to Generative Adversarial Networks
at UDACITY
Learn how to build and train different generative adversarial network architectures to generate new images.
Duration | 1 month |
Mode of learning | Online |
Credential | Certificate |
Introduction to Generative Adversarial Networks at UDACITY Highlights
Introduction to Generative Adversarial Networks
at UDACITY
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
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Introduction to Generative Adversarial Networks at UDACITY Course details
Introduction to Generative Adversarial Networks
at UDACITY
What are the course deliverables?
- Become familiar with generative adversarial networks (GANs). Students in this course will learn how to build and train different
- GANs architectures to generate new images. Discover, build, and train architectures such as DCGAN, CycleGAN, ProGAN, and
- StyleGAN on diverse datasets including the MNIST dataset, Summer2Winter Yosemite dataset, or CelebA dataset.
More about this course
- Take Udacity's Introduction to Generative Adversarial Networks (GANs) course and learn how to build and train different GANs architectures to generate new images.
Introduction to Generative Adversarial Networks at UDACITY Curriculum
Introduction to Generative Adversarial Networks
at UDACITY
Generative Adversarial Networks
Training a Deep Convolutional GANs
Image to Image Translation
Modern GANs
Course Project: Face Generation
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Introduction to Generative Adversarial Networks
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