Chevron Left
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 5,873개 리뷰 중 5426~5450

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: Krishna T

May 12, 2020

Loved the way how Prof.Andrew Ng explained everything in such a simplified manner

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

교육 기관: 成文辉

Mar 26, 2019

A programming assignment about batch normalization and softmax will be helpful.

교육 기관: Enrique J S Q

Sep 23, 2018

Very interesting to improve the foundations of neural networks previously learnt

교육 기관: udit b

Mar 07, 2018

Not much ground covered on implementation of hyperparameter search in tensorflow

교육 기관: Muktanil D

Jan 07, 2018

Great course, nice explanation of optimization techniques...too less TensorFlow.

교육 기관: Kumar V

Oct 16, 2017

Good course could have been better expected little more on Tensor flow exercise.

교육 기관: Cristina G

Sep 30, 2017

Clear and simple introduction to the topics. Useful hints and 'takeaway lessons'

교육 기관: Abidur R

Jun 25, 2020

Should have some TensorFlow Tutorials. I have found it difficult to understand.

교육 기관: xiao c

Apr 12, 2020

Good content. But I found the pace a little slow , maybe just my impatience. :)

교육 기관: David A H V

Mar 15, 2020

Great insights, however the programming assignments came with some minor issues

교육 기관: Nicolo d G

Feb 17, 2019

A bit short and light to be a course on its own but still useful in the series.

교육 기관: Adrianus B K

Oct 07, 2018

This course is a bit harder than the first one although it is only three weeks.

교육 기관: Aris P

Nov 24, 2017

Useful material and good teacher but the grading system has some serious issues

교육 기관: Marco v d L

Nov 04, 2017

Video's: 5 star

Practice: 3 star (it will test your copy and past skills mostly)

교육 기관: Andrew L P

Oct 29, 2019

Wonderful course, would have liked another assignment working with TensorFlow.

교육 기관: bayu a n

May 04, 2019

Need more in-depth about parameter tuning, but it's a very good course overall