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Learner Reviews & Feedback for Deep Learning with PyTorch : Generative Adversarial Network by 糖心vlog官网观看

4.5
stars
98 ratings

About the Course

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鈥檙e currently working on providing the same experience in other regions....

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1 - 11 of 11 Reviews for Deep Learning with PyTorch : Generative Adversarial Network

By Libero P

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Sep 7, 2025

螤慰位蠉 魏伪位蠈 渭维胃畏渭伪.

By VEENASANATHKUMAR

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Oct 25, 2021

GOOD COURSE

By Jayaprakash B

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Jun 13, 2025

gOOD

By Kevin Y H Z

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Apr 5, 2025

+100

By Neha T

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Dec 8, 2021

Good

By 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

By Fabio N O C

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Oct 16, 2025

un poco mas de explicaci贸n en el porque

By Meena

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Jul 31, 2022

Very Helpful

By pranita k

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Jul 21, 2023

wow

By 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.

By Paul L

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Jun 28, 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.