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Build Basic Generative Adversarial Networks (GANs)(으)로 돌아가기

deeplearning.ai의 Build Basic Generative Adversarial Networks (GANs) 학습자 리뷰 및 피드백

4.7
별점
1,520개의 평가

강좌 소개

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....

최상위 리뷰

HL

2022년 3월 10일

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

2020년 10월 1일

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.

필터링 기준:

Build Basic Generative Adversarial Networks (GANs)의 373개 리뷰 중 176~200

교육 기관: Tim C

2020년 12월 8일

An absolutely fantastic course with a lot of details and applications

교육 기관: Shivender K

2020년 11월 22일

I had a very good hand on experience on GAN with weekly assignments.

교육 기관: AKASH C

2020년 10월 9일

A great introductory lesson on GANs. Coding exercises where amazing.

교육 기관: MUHAMMEDJASEEM P

2022년 1월 2일

The Course material is very well presented and super easy to follow

교육 기관: Злобин Я Н

2021년 7월 8일

Its greate course to start studying GAN's model and architecture

교육 기관: Junaid W

2021년 5월 30일

Well Organized and to the point course. Thank you for making it

교육 기관: Kejung H

2021년 4월 3일

Let me have a basic full understanding of GANs in a short time.

교육 기관: Amr A

2020년 10월 9일

Well organized and informative course on GANs. Thanks very much

교육 기관: Sumera R

2021년 11월 26일

Excellent course for those who want to delve into GAN's world.

교육 기관: Adarsh W

2021년 1월 11일

Great introduction to GANS but difficult programming exercise.

교육 기관: Md. A A M

2021년 3월 17일

Best course. Best Instructor. Best Labs. Highly recommended.

교육 기관: Rajinder S

2021년 5월 7일

Absolutely engaging and digestible introduction to GANs!!

교육 기관: Prasad V G S

2021년 2월 28일

Really useful to enhance my knowledge in the field of ML.

교육 기관: Moonsu K

2020년 10월 21일

This was such a great course. Thanks for offering this.

교육 기관: Ahmed S

2020년 11월 9일

Really great course with a hands-on learning experience.

교육 기관: Namas B

2020년 10월 13일

Phenomenal teaching method! Absolutely love this course.

교육 기관: Sathvik S

2020년 10월 10일

Very good course ... Great Instructor, Good assignments

교육 기관: Leonardo P

2021년 10월 31일

A good and fun introduction to GANs. Super cool videos.

교육 기관: Bob K

2021년 2월 25일

Well constructed and explained. Very worthwhile course

교육 기관: Aditya Y

2020년 11월 15일

Fun course! I had a blast playing with various examples

교육 기관: ZHOU T

2020년 10월 7일

A very instructive course of GANs, strongly recommend !

교육 기관: Daniel A

2021년 11월 10일

Great course! But the assignments were rather simple!

교육 기관: Charles X

2021년 5월 26일

It's a pretty good course to get familiar with GANs.

교육 기관: Yiqiao Y

2021년 1월 2일

Highly recommended! I am learning a lot from Sharon!

교육 기관: Ái N

2021년 2월 16일

Well-planned materials and easy-to-follow lectures.