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返回到 Deep Learning with PyTorch : Generative Adversarial Network

学生对 Coursera 提供的 Deep Learning with PyTorch : Generative Adversarial Network 的评价和反馈

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99 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....

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1 - Deep Learning with PyTorch : Generative Adversarial Network 的 12 个评论（共 12 个）

创建者 Libero P

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Sep 7, 2025

Πολύ καλό μάθημα.

创建者 VEENASANATHKUMAR

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Oct 25, 2021

GOOD COURSE

创建者 Jayaprakash B

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Jun 13, 2025

gOOD

创建者 Kevin Y H Z

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Apr 4, 2025

+100

创建者 Neha T

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Dec 7, 2021

Good

创建者 Harith Y

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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 Fabio N O C

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Oct 15, 2025

un poco mas de explicación en el porque

创建者 Meena

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Jul 31, 2022

Very Helpful

创建者 AYUSH N

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Nov 29, 2025

jjj

创建者 pranita k

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Jul 20, 2023

wow

创建者 Majid A S

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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

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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.