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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 4,437개 리뷰 중 4101~4125

교육 기관: David D

Oct 07, 2017

Last programming assignments had some errors in them that could've easily been corrected.

교육 기관: Václav R

Feb 14, 2019

Could have focused a bit more on the tensorflow. Other than that - Great course, thanks!

교육 기관: Rajiv C

Aug 25, 2017

It was fun to get to know other optimization techniques and how to speed up the network.

교육 기관: Andrew W

Jul 30, 2019

Felt fast faced. But a good introduction to neural network hyperparameter optimization.

교육 기관: GAURAV B

Nov 14, 2018

Course was really good, but I feel in tenserflow regularization should also be covered.

교육 기관: Ahmed A

Oct 28, 2018

The course was very informative but the tensorflow notebook was buggy and needs fixing.

교육 기관: Arjan G

Dec 07, 2017

Good course, but still has some minor issues in the assignments that needs to be fixed.

교육 기관: Oleksandr T

Jul 29, 2019

Last code assignment is a mess. Looks like organizers have no intention to fix errors.

교육 기관: Cindy Q

Apr 01, 2018

Week 3 feels a little rushed. The tensorflow material can be explained more in detail.

교육 기관: Nicola P

Nov 11, 2017

Lessons are very clear and insightful. I would have expected more complex assignments.

교육 기관: sree v

Sep 05, 2017

TensorFlow assignment is not good. There are many issues in submitting the assignment.

교육 기관: Gaojing W

Aug 28, 2017

Content is comprehensive but lack of an detailed assignment of tuning hyperparameter.

교육 기관: yesid a c m

Oct 28, 2019

hay funciones de tensorflow que ser[ia adecuado que las explicaran en los notebooks.

교육 기관: Asutosh S

Jun 12, 2018

Assignments are too easy. They wouldn't even require one to watch the course videos.

교육 기관: Monesha G

Jan 13, 2020

4 stars for the course's rich content. minus one for the overly structured projects

교육 기관: Andreas B O

Jan 07, 2020

Excellent course - However, the Tensorflow tutorial could be a little more thorough

교육 기관: VONGKASEM L

Oct 19, 2018

some video lectures have some audio clips repeated, often at the end of the video.

교육 기관: Bryan L

Apr 08, 2018

Good explanation of gradient descent w/ momentum. Nice introduction to TensorFlow.

교육 기관: V S P K

Oct 07, 2017

Course content is intense. May be need more detailed videos/lecture on Tensor flow

교육 기관: Harsh B K

Jul 30, 2019

Good Insights of hyper parameters with other techniques to improve learning rate.

교육 기관: JETTIBOINA V N D S R P

Jul 04, 2019

Content was excellent and it was delivered by Andrew Ng sir in an outstanding way

교육 기관: Neeraj T

Dec 27, 2018

I thoroughly enjoyed this course. Presents the material in an easy to learn style

교육 기관: Satya S

Mar 21, 2018

they should have given more lectures on tensor flow but still it is a nice course

교육 기관: Luis G

Nov 24, 2019

great course, last videos (except for frameworks ) were somewhat hard to follow.

교육 기관: Ran S

May 17, 2019

More excersies on batch norm and hyper parameter search could have been usefull