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Learner Reviews & Feedback for Generative Deep Learning with TensorFlow by DeepLearning.AI

4.9
stars
295 ratings

About the Course

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....

Top reviews

LV

Mar 17, 2022

Excellent course - Indepth knowledge delivered by one of the top-developers in an engaginand challenging manner. Superb. Would definitely recommend.

DG

Aug 6, 2023

Amazing Course.

I Loved It

It is very interesting and by the way you obtain the outcomes you can see inmediately your advances!

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26 - 49 of 49 Reviews for Generative Deep Learning with TensorFlow

By Socrates M

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Mar 2, 2021

Amazing course indeed!

By Jorge S

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Mar 29, 2021

Best content around !

By Aleksander Z

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Mar 22, 2021

Great course. Thanks!

By CARLOS A L F

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Aug 25, 2022

Excellent Course!!!

By Deleted A

•

Aug 16, 2021

useful material

By Merlin S (

•

Jul 9, 2021

Lovely course.

By GUILLERMO R

•

Jan 16, 2024

Great Course!

By Rangga A R

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Aug 30, 2023

NICELY DONE!

By Evgeni N

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Jun 2, 2023

Outstanding!

By Vikum C

•

Jun 2, 2021

great course

By Rafael J M M

•

Apr 28, 2023

Exellent!!!

By Selma G

•

Dec 12, 2022

Excellent!

By Javier B

•

Jul 6, 2021

very nice

By Muhammad K I

•

May 25, 2024

awesome

By Justin H

•

Jul 17, 2023

Brutal.

By tom g

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Jun 25, 2021

Amazing

By Masyaa'il K

•

Dec 12, 2024

good

By Muhammad R F M

•

May 25, 2024

good

By Rendy S P

•

May 25, 2024

nice

By Hamed Z

•

Feb 15, 2024

10

By Jayasuriya G

•

Jun 14, 2021

By Ijaz U

•

Jun 20, 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.

By Sunder A K

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Dec 27, 2021

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

By Vihanga V

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Mar 25, 2022

good course