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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization(으)로 돌아가기

deeplearning.ai의 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 학습자 리뷰 및 피드백

4.9
43,181개의 평가
4,645개의 리뷰

강좌 소개

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....

최상위 리뷰

AM

Oct 09, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

XG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

필터링 기준:

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization의 4,577개 리뷰 중 4401~4425

교육 기관: Sajal J

Oct 28, 2019

Very good course.highly recommended

교육 기관: SaidEi

Mar 15, 2018

It's a very helpful course.

thanks

교육 기관: Vitaliy

Feb 28, 2018

Was nice but something is missing.

교육 기관: David B

Oct 05, 2017

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교육 기관: Lenny F

Sep 29, 2019

Would like to have more practice

교육 기관: John M

Apr 04, 2019

TensorFlow needs more explaining

교육 기관: Sam M

Apr 28, 2018

Some errors in jupyter notebooks

교육 기관: ccbttn

Oct 08, 2017

last assignment need improvement

교육 기관: Julian F

Sep 30, 2017

A very practical hands-on study.

교육 기관: Massimiliano L C

Dec 19, 2019

Great course, incredibly useful

교육 기관: Pavao S

Feb 11, 2018

I would like to see more theory

교육 기관: Saad K

Sep 12, 2017

Could probably be more condense

교육 기관: Yu-Hsuan G

Oct 21, 2017

Thank you for your teaching :)

교육 기관: 吴秀琛

Nov 20, 2019

Learn a lot. Pytorch needed.

교육 기관: Gianluca S

Aug 10, 2019

No course material available

교육 기관: Long Q

Mar 17, 2019

some video need more explain

교육 기관: Ramachandran R

Nov 29, 2017

Good and practical knowledge

교육 기관: Wei Z

Oct 16, 2017

It is 5 stars if more deeper

교육 기관: shuieryin

Jan 24, 2018

not very like tensorflow...

교육 기관: Wong C H

Mar 03, 2018

Useful but not very unique

교육 기관: Jonathan D

Feb 10, 2020

Challenging and rewarding

교육 기관: Clemens T

Sep 27, 2017

Learned lots of new stuff

교육 기관: Akshat A

Feb 20, 2019

Concepts and intuitions.

교육 기관: luca s

Nov 07, 2017

Some error in assessment

교육 기관: Mihir T

Nov 05, 2017

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