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学生对 DeepLearning.AI 提供的 Generative Deep Learning with TensorFlow 的评价和反馈

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312 个评分

课程概述

In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image. b) Build simple AutoEncoders on the familiar MNIST dataset, and more complex deep and convolutional architectures on the Fashion MNIST dataset, understand the difference in results of the DNN and CNN AutoEncoder models, identify ways to de-noise noisy images, and build a CNN AutoEncoder using TensorFlow to output a clean image from a noisy one. c) Explore Variational AutoEncoders (VAEs) to generate entirely new data, and generate anime faces to compare them against reference images. d) Learn about GANs; their invention, properties, architecture, and how they vary from VAEs, understand the function of the generator and the discriminator within the model, the concept of 2 training phases and the role of introduced noise, and build your own GAN that can generate faces. The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture, and gives them the tools to create and train advanced ML models. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models....

热门审阅

IU

Jun 19, 2024

Excellent course. The only reason I don't opt to 5-rate it is because, coming from completing courses by Andrew Ng, I kind of wanted a more mathematics/theory- driven course.

OS

Mar 21, 2024

Although the VAE module was a bit difficult, I found this course helpful to refine my deep learning knowledge.

筛选依据：

26 - Generative Deep Learning with TensorFlow 的 50 个评论（共 50 个）

创建者 Olexander A

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Nov 29, 2021

Thanks, amazing course!

创建者 Socrates M

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Mar 2, 2021

Amazing course indeed!

创建者 Jorge S

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Mar 29, 2021

Best content around !

创建者 Aleksander Z

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Mar 21, 2021

Great course. Thanks!

创建者 BARONE,Massimiliano

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Dec 2, 2025

well done Laurence!

创建者 CARLOS A L F

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Aug 25, 2022

Excellent Course!!!

创建者 Deleted A

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Aug 16, 2021

useful material

创建者 Merlin S (

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Jul 8, 2021

Lovely course.

创建者 GUILLERMO R

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Jan 16, 2024

Great Course!

创建者 Rangga A R

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Aug 30, 2023

NICELY DONE!

创建者 Evgeni N

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Jun 2, 2023

Outstanding!

创建者 Vikum C

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Jun 2, 2021

great course

创建者 Rafael M M

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Apr 28, 2023

Exellent!!!

创建者 Selma G

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Dec 12, 2022

Excellent!

创建者 Javier B

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Jul 6, 2021

very nice

创建者 Muhammad K I

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May 25, 2024

awesome

创建者 Justin H

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Jul 17, 2023

Brutal.

创建者 tom g

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Jun 24, 2021

Amazing

创建者 Masyaa'il K

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Dec 12, 2024

good

创建者 Muhammad R F M

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May 25, 2024

good

创建者 Rendy S P

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May 25, 2024

nice

创建者 Hamed Z

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Feb 15, 2024

10

创建者 Jayasuriya G

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Jun 14, 2021

创建者 Sunder A K

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Dec 27, 2021

The best course for learning the implementation of GANs, stacked and variational autoencoders.

创建者 Vihanga V

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Mar 25, 2022

good course