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學生對 deeplearning.ai 提供的 Generative Deep Learning with TensorFlow 的評價和反饋

4.9
144 個評分
22 條評論

課程概述

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....

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LL
2021年6月22日

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
2021年1月28日

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

篩選依據:

1 - Generative Deep Learning with TensorFlow 的 23 個評論(共 23 個)

創建者 Tamim-Ul-Haq M

2021年1月29日

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

創建者 Francois R

2021年3月18日

Excellent course.

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

Thanks to all the contributors.

創建者 Yap C H

2021年2月21日

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

創建者 Renjith B

2021年5月1日

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

創建者 Ernest W

2021年11月25日

The course will give you an introduction to autoencoders, some extension to neural style transfer from Deeplearning specialization and last week was brief introduction to GANs. Everything is well explained and knowledge from assignments may be re-used during your own projects. After the whole specialization you can't say that it didn't give you an opportunity to learn how to use Tensorflow. However, it's focused mostly on image processing so if you dislike this topic - it's not for you.

創建者 Moustafa S

2021年1月17日

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.

創建者 Rajendra A

2021年7月23日

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.

創建者 lonnie

2021年6月23日

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.

創建者 Walter A N

2021年11月24日

Very Instructive! Laurence is a great teacher explaining. I was able to understand CNN / GANS in a unique and smooth way

創建者 Pramit D

2021年4月19日

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

創建者 Nikolay S

2021年2月28日

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

創建者 西川 尚之

2021年1月21日

This course is very helpful and useful !

創建者 Alexander A

2021年11月29日

Thanks, amazing course!

創建者 Socrates M

2021年3月2日

Amazing course indeed!

創建者 Jorge S

2021年3月29日

Best content around !

創建者 Alexander Z

2021年3月22日

Great course. Thanks!

創建者 Shiva S B

2021年8月16日

useful material

創建者 Merlin S

2021年7月9日

L​ovely course.

創建者 Vikum C

2021年6月2日

great course

創建者 Javier B

2021年7月6日

very nice

創建者 tom g

2021年6月25日

Amazing

創建者 Jayasuriya G

2021年6月14日

創建者 Sushanth

2021年10月21日

T​he session on VAE's was interesting, If I could make a suggestion, I would add other generative models, such as Deep Belief Nets, and show how the generated data change from DBNs to VAES to GANS with the same dataset. That would give students a better idea of the tradeoffs involved in each of them.