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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
stars
42,177개의 평가
4,502개의 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

CV

Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

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 4,438개 리뷰 중 4251~4275

교육 기관: Michael N

Apr 13, 2018

Great but som explanations seems a bit wierd

교육 기관: Karl B

Oct 28, 2018

Tensor flow stuff could be better explained

교육 기관: Mecrux

Sep 04, 2018

Maybe should spend more time on tensorflow?

교육 기관: Arnav D

May 22, 2018

Best TensorFlow tutorial I have seen so far

교육 기관: Sandor T C

Jan 29, 2018

too much hand holding, no struggle to learn

교육 기관: Paulo A V

Nov 16, 2017

Nice complement to the first course on ANN

교육 기관: Thibault C

Nov 07, 2019

more intuitive insights would be helpful

교육 기관: EURICO O D C D S C

Jan 08, 2018

Having tensorflow is great. It's a must.

교육 기관: Dixing X

Oct 16, 2017

programming assignments are too easy XD

교육 기관: Yue X

Sep 15, 2017

Programming assignments are too simple.

교육 기관: Michael B

Dec 19, 2017

Could do with more tensorflow examples

교육 기관: Guy K

Sep 22, 2017

Well organized !! clear explanations !

교육 기관: jyning

Dec 03, 2017

感觉作业设计的很好,可以不需要太好的编程能力就能完成,还能加深多算法的理解

교육 기관: Gerald B

Feb 14, 2018

Consistently challenging. I love it!

교육 기관: Nguyen B L

Nov 19, 2019

excellent & quite challenge course!

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