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返回到 Build Better Generative Adversarial Networks (GANs)

学生对 DeepLearning.AI 提供的 Build Better Generative Adversarial Networks (GANs) 的评价和反馈

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683 个评分

课程概述

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 with the state-of-the-art StyleGANs 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....

热门审阅

PK

Jan 25, 2021

I found that week 2 in this course is very abstract and non-technical thus I didn't like it. Week 1 and 3 were filled with relevant information and the final assignments were quite nice to accomplish.

MB

Aug 25, 2023

This course has helped me to dive deeper into the world of Generative AI through GANs and know what they can do and what are the advantages, benefits and disadvantages at the same time.

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51 - Build Better Generative Adversarial Networks (GANs) 的 75 个评论（共 101 个）

创建者 Md. A A M

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Mar 12, 2021

Wonderful. Really Enjoying the whole time when I start to learn GANs.

创建者 Olivier M

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Oct 23, 2020

Amazing lectures on very complex topics. Thanks a lot deeplearning.ai

创建者 Deleted A

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Jan 28, 2021

Very clear and complete overview of recent advancements in GANs.

创建者 Shivender K

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Dec 31, 2020

Highly complex and interesting course to build GAN knowledge.

创建者 matan

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Dec 9, 2021

Great course, Would be great if it would be more formal

创建者 Evgenii T

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Jan 31, 2021

Easy yet fundamental enough for an eager learner.

创建者 Jorge P

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Nov 22, 2020

Excelente contenido, me encantan las actividades.

创建者 M. H A P

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Apr 6, 2021

This course so helpful for my research

创建者 Gokulakannan S

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Dec 23, 2020

Nice course. Enjoyed every bit of it@

创建者 Ajeesh A

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Dec 24, 2023

So detailed yet so simply explained!

创建者 Li Y

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May 28, 2023

It is very interesting and amazing!

创建者 amadou d

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Mar 9, 2021

Excellent and Fantastik. Thank You!

创建者 Kenneth N

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Jun 27, 2022

exceptional and clear instructions

创建者 Edgar A

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Jul 6, 2023

A really complete course

创建者 Emmanuelle S

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Jun 29, 2023

Excellent 2nd course

创建者 Gabriel O

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Nov 25, 2021

Very nice course!

创建者 DO D T

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Jan 25, 2021

MANY THANKS TO YOU

创建者 Ms. N A A

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Dec 14, 2020

Great clear course

创建者 Parma R R

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Mar 27, 2023

Very good course!

创建者 Vishnu N S

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Jul 9, 2021

Great Course !!!

创建者 Tim C

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Dec 8, 2020

Great stuff ! :)

创建者 Stefan O B

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Jan 27, 2021

great course!

创建者 Mertcan Ö

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Aug 7, 2024

great course

创建者 Jason C

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Jan 1, 2021

Great stuff!

创建者 Vignesh M

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Nov 25, 2020

Wonderful!