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Generative Deep Learning with TensorFlow(으)로 돌아가기

deeplearning.ai의 Generative Deep Learning with TensorFlow 학습자 리뷰 및 피드백

4.9
별점
143개의 평가
21개의 리뷰

강좌 소개

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....

최상위 리뷰

LL
2021년 6월 22일

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
2021년 1월 28일

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

필터링 기준:

Generative Deep Learning with TensorFlow의 23개 리뷰 중 1~23

교육 기관: Tamim-Ul-Haq M

2021년 1월 29일

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

교육 기관: Francois R

2021년 3월 18일

Excellent course.

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

Thanks to all the contributors.

교육 기관: Yap C H

2021년 2월 21일

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

교육 기관: Renjith B

2021년 5월 1일

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

교육 기관: Ernest W

2021년 11월 25일

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.

교육 기관: Moustafa S

2021년 1월 17일

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.

교육 기관: Rajendra A

2021년 7월 23일

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.

교육 기관: lonnie

2021년 6월 23일

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.

교육 기관: Walter A N

2021년 11월 24일

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

교육 기관: Pramit D

2021년 4월 19일

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

교육 기관: Nikolay S

2021년 2월 28일

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

교육 기관: 西川 尚之

2021년 1월 21일

This course is very helpful and useful !

교육 기관: Alexander A

2021년 11월 29일

Thanks, amazing course!

교육 기관: Socrates M

2021년 3월 2일

Amazing course indeed!

교육 기관: Jorge S

2021년 3월 29일

Best content around !

교육 기관: Alexander Z

2021년 3월 22일

Great course. Thanks!

교육 기관: Shiva S B

2021년 8월 16일

useful material

교육 기관: Merlin S

2021년 7월 9일

L​ovely course.

교육 기관: Vikum C

2021년 6월 2일

great course

교육 기관: Javier B

2021년 7월 6일

very nice

교육 기관: tom g

2021년 6월 25일

Amazing

교육 기관: Jayasuriya G

2021년 6월 14일

교육 기관: Sushanth

2021년 10월 21일

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.