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

4.8
stars
112 ratings
17 reviews

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

LL
Jun 22, 2021

Great Course. It would be better to have Capstone Project and Peer Review Process to prove that we are actually able to apply all these techniques.

TM
Jan 28, 2021

Outstanding course that deals with complex topics in Deep Learning explained in short yet precise manner and flawlessly executed.

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1 - 18 of 18 Reviews for Generative Deep Learning with TensorFlow

By Tamim-Ul-Haq M

Jan 29, 2021

Outstanding course that deals with complex topics in Deep Learning explained in short yet precise manner and flawlessly executed.

By Francois R

Mar 18, 2021

Excellent course.

I really appreciated to have a quiz and an assignment each week.

Thanks to all the contributors.

By Yap C H

Feb 21, 2021

Clear explanation on all generative methods. However, I find it too short. The course can be longer and include more generative methods.

By Renjith B

May 1, 2021

Really good content covering the surface of lot of advanced topics.

By Moustafa S

Jan 17, 2021

really great course, it showed how VAE and AutoEncoders work, also touched on the topic of GANs, the best part was applying what's learned during the whole specialization on building difficult and complicated models from scratch.

By Rajendra A

Jul 23, 2021

Sessions, labs and assignment are really very good from advance programming in Tensorflow perspective. Additional or optional sessions on KL divergence, reconstruction loss would have helped learners a lot.

By lonnie

Jun 23, 2021

G​reat Course. It would be better to have Capstone Project and Peer Review Process to prove that we are actually able to apply all these techniques.

By Pramit D

Apr 19, 2021

Excellent course. Highly recommended. Please make a separate course on GAN. Use TensorFlow instead of PyTorch

By Nikolay S

Feb 28, 2021

This course was fantastic! Laurence and DeepLearning.ai team did great job. Definitely recommended.

By 西川 尚之

Jan 21, 2021

This course is very helpful and useful !

By Socrates M

Mar 2, 2021

Amazing course indeed!

By Jorge S

Mar 29, 2021

Best content around !

By Alexander Z

Mar 22, 2021

Great course. Thanks!

By Merlin S

Jul 9, 2021

L​ovely course.

By Vikum C

Jun 2, 2021

great course

By Javier B

Jul 6, 2021

very nice

By tom g

Jun 25, 2021

Amazing

By Jayasuriya G

Jun 14, 2021