Chevron Left
返回到 Build Basic Generative Adversarial Networks (GANs)

學生對 deeplearning.ai 提供的 Build Basic Generative Adversarial Networks (GANs) 的評價和反饋

4.7
1,632 個評分

課程概述

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 The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research....

熱門審閱

HL

2022年3月10日

Great introductory to GANs, focused on the building blocks to neural net/ GANs, and a bit of frequently used models. Might need a small update on what's considered "state-of-the-art" in the course.

WM

2020年10月1日

The course provides good insight into the world of GANs. I really enjoyed Sharon's explanations which were deep and easy to understand. I really recommend this course to anyone interested in AI.

篩選依據:

376 - Build Basic Generative Adversarial Networks (GANs) 的 386 個評論(共 386 個)

創建者 Michael K

2020年10月12日

創建者 Keebeom Y

2021年8月17日

創建者 Ivan V S

2021年8月23日

創建者 Christoffer M

2021年3月4日

創建者 Daniil K

2021年8月28日

創建者 Fatemeh A

2021年6月11日

創建者 Yu G

2021年1月17日

創建者 Daniel J

2021年2月27日

創建者 Ranga R S

2021年2月11日

創建者 Michael S

2021年2月7日

創建者 Scott A

2021年7月20日