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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
별점
52,522개의 평가
5,940개의 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.

NA

Jan 14, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

필터링 기준:

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization의 5,872개 리뷰 중 5401~5425

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: Prajwal M H (

Apr 21, 2020

The difficulty of the course is medium. More time should be spent by learners for this

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: Mohammad M H

Jul 31, 2020

most of the topics and assignments are great! but few parts of them are a bit boring!

교육 기관: Mayur S

May 09, 2020

Some more programming exercise with an combination of all the weeks would have helped

교육 기관: Simona T

Mar 09, 2020

The assignements are very instructive and useful, but they could be more challenging.

교육 기관: Gaojing W

Aug 28, 2017

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

교육 기관: Vincent R

Jun 11, 2020

Great overview. The only critique is that the practice problems are a bit spoon-fed.

교육 기관: Utpal D

May 09, 2020

learn a lot about how to fine tune hyperparameter & other regularization techniques.

교육 기관: Javier L

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

교육 기관: Yesi C

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: Samit H

Jul 14, 2020

Very Good for knowing details . Few more practices in programming might help a lot.

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: Gil K

Apr 14, 2020

A lot of good topics, but a lot of tasks are irrelevant for todays practical world

교육 기관: VONGKASEM L

Oct 19, 2018

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