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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

60,662개의 평가
7,026개의 리뷰

강좌 소개

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

최상위 리뷰


2017년 10월 30일

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.


2021년 4월 4일

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

필터링 기준:

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization의 6,974개 리뷰 중 6826~6850

교육 기관: bob n

2020년 11월 15일

Would have rated higher, lost 2 stars because uses Tensor version 1. Keeping courses current is very important to me. Rating 3 even that though I thoroughly enjoyed this course and learned what's under the covers in packages such as tensorflow. Not sure if there is an excuse for not updating the final lab.

교육 기관: Tomer G

2019년 11월 9일

The content is 5 stars.

However, technicalities of assignments not getting submitted and then needing to investigate in the discussion board what others did to be able to submit an assignment..

Assignments not getting submitted&graded is a criticial bug, that's why the temporary 3 stars rating on my side.

교육 기관: Irina R

2020년 4월 25일

Andrew is an excellent teacher, but the programming assignments are weak. Everything is already written for the learner, and the only things one needs to do is to fill few lines of code here and there. To fully understand the material, the learner should write the code by himself/herself.

교육 기관: Vishnu

2020년 5월 6일

I wish the course material on Tensorflow was updated to Tensorflow 2, but it is also nice to know what happens under the hood. I also wish there was some programming assignments in which we could tune some hyperparameters and visualise the difference between selecting diferent values.

교육 기관: akshaya r

2020년 1월 12일

Good explanation of hyperparameters and optimization in DNN. As a beginner to tensor flow, I felt it hard to debug the tensor flow assignment. It would have been easier if the assignment included validation of each function before building the complete model.

교육 기관: Salim S I

2018년 8월 12일

Would have liked programming assignment in python to understand the various initializations and optimizations. Although tensorflow introduction was good, It felt like being left stranded without a python assignment to cement the things learnt in the class.

교육 기관: Brian W

2019년 10월 17일

The lectures are good and informative. However, the programming assignments are hard to learn from - an unhelpful combination of too easy and too obscure, so that it's hard to believe I'm developing skills that will help me program such things myself.

교육 기관: Kevin J

2020년 8월 1일

Ich hätte mir gewünscht, dass Hyperparameter Tuning tiefer behandelt worden wäre.

Anstelle eines randomisierten Ausprobierens hätte ich mir mehr Erfahrungswerte gewünscht, wie man situationsabhängig Netze konstruiert und Parameter wählen sollte.

교육 기관: Andrew W

2019년 11월 2일

The material is very well and intuitively explained. I am disappointed with the assignment. It seems to be based on older versions of Tensorflow, and seems a bit outdated. This becomes very clear if one tries to run the assignment locally.

교육 기관: Patrick P

2017년 9월 21일

The course notes don't lend themselves for use as reference materials. The programming exercises are spoon-fed. The material is more up-to-date than Andrew Ng's Machine Learning course, but that set a higher standard for online education.

교육 기관: John D G

2018년 5월 23일

the lectures in this course seemed very packed and rushed, squeezing in a lot of content that felt skipped over instead of delving into the math a bit. The jupyter notebooks also have alot of errata that haven't been updated in a while

교육 기관: Mengqi Z

2022년 1월 7일

I find the course material not very well organized especially in week 1, as there are lots of random tactics taught which don't seem to fall into a common theme. For example, weight initialization seems better belong to week 2.

교육 기관: Daniel T

2019년 7월 2일

The exercise although long was only related to the last section. There are some mistakes already reported by the students but no action yet. This is a good course do not ruin the reputation by some minor unaddressed issues.

교육 기관: Sean J

2019년 12월 23일

It's a good lecture for background but the programming assignment is outdated. Tensorflow 1 is very uncomfortable and the assignment would have been a lot easier and intuitive if it was Tensorflow 2, Keras or PyTorch.

교육 기관: Deeplaxmi

2020년 4월 1일

Thankyou for your great guidance sir. I am diploma student where we ain't taught much maths related to ML. I found difficult to understand mathematical equations. So i request you to upload a course on that too.

교육 기관: Imad M

2018년 11월 4일

Week 1 and week 2 needs more examples of python programming in the videos. The videos for week 3 were a lot more interesting. Without the python implementation examples in the videos, the course can be very dry.

교육 기관: Nikolay B

2017년 12월 5일

Lessons are nicely explained

Assignments should be more challenging. Same as first course, this one basically make you cope-paste instructor notes and just change variable names to pass all assignments.

교육 기관: Caleb M

2019년 6월 4일

Enjoyed learning the concepts but it all seemed slow and tedious. It also seems like building up tensorflow throughout the weeks would be more useful then just piling it in the notebook at the end.

교육 기관: Christopher D

2020년 8월 1일

It was a really good course, as I have come to expect when Andrew Ng is involved. The reason I only gave it three stars was for the sole fact that the version of Tensorflow is not up to the date.

교육 기관: Riccardo F

2020년 9월 24일

Not enough about tensorflow, not a lot of extra information on hyperparmeter tuning, exercises simple and unchallenging. I like the instructor, but I wish we could get more challenging material.

교육 기관: Srini A

2019년 1월 9일

its great foundational course but i feel with frameworks available the math behind it was little boring.Andrew NG is pretty good with explaining it well but sometimes felt it was too trivial

교육 기관: Alexander V

2018년 2월 25일

Tests are very easy, and the programming exercises are very straight-forward - to the point where it is really obvious what to do. I could have learned more if both were more challenging

교육 기관: Griffin W

2019년 6월 29일

Tensorflow was introduced in a very confusing way and most of the intuitions were not explained. Besides from lack of explanation for tensorflow, great course that complements the first

교육 기관: Jorge G V

2019년 3월 7일

The lessons are good, the programming assignment has mistakes that have apparently been reported over a year ago and have yet to be fixed - there is no excuse for this to be the case.

교육 기관: Aniceto P M

2019년 4월 21일

The course was well, but the last graded test was use Tensorflow and this requires a lot more knowledge than the last video which was an example of another completely different kind