返回到 Deep Learning with PyTorch : Generative Adversarial Network
学生对 Coursera Project Network 提供的 Deep Learning with PyTorch : Generative Adversarial Network 的评价和反馈
94 个评分
课程概述
In this two hour project-based course, you will implement Deep Convolutional Generative Adversarial Network using PyTorch to generate handwritten digits. You will create a generator that will learn to generate images that look real and a discriminator that will learn to tell real images apart from fakes. This hands-on-project will provide you the detail information on how to implement such network and train to generate handwritten digit images.
In order to be successful in this project, you will need to have a theoretical understanding on convolutional neural network and optimization algorithm like Adam or gradient descent. This project will focus more on the practical aspect of DCGAN and less on theoretical aspect.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
筛选依据：
1 - Deep Learning with PyTorch : Generative Adversarial Network 的 10 个评论（共 10 个）
创建者 Libero P
•Sep 7, 2025
Πολύ καλό μάθημα.
创建者 VEENASANATHKUMAR
•Oct 25, 2021
GOOD COURSE
创建者 Jayaprakash B
•Jun 13, 2025
gOOD
创建者 Kevin Y H Z
•Apr 4, 2025
+100
创建者 Neha T
•Dec 7, 2021
Good
创建者 Harith Y
•May 29, 2025
Felt like the instructor was rushing in the last 3 videos, and he did not explain it completely in detail. Rest was very good
创建者 Meena
•Jul 31, 2022
Very Helpful
创建者 pranita k
•Jul 20, 2023
wow
创建者 Majid A S
•Sep 9, 2023
This is a good, short course as the form of project to review and recap what you already knew in Deep Learning using PyTorch.
创建者 Paul L
•Jun 27, 2025
There is not a lot of learning going on with this guided project. It's mainly typing practice. You type whatever the instructor types in the video. Then run the result.