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返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

學生對 deeplearning.ai 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的評價和反饋

4.9
57,364 個評分
6,590 條評論

課程概述

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....

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CV
2017年12月23日

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
2017年10月30日

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.

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6426 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6450 個評論(共 6,515 個)

創建者 Moustafa A M

2017年12月9日

Lake of practice, Lake of intimations with good examples

Less in Ternsorflow don't know how to implement and deploy it

創建者 Mohammad E

2020年8月14日

The course and the material are great. However, the codes in the labs have serious problems which should be solved.

創建者 Lucas N A

2020年3月6日

Really helpful advises. I felt it was too focus on the implementation side but I liked the intuitions parts better.

創建者 Rishabh G

2020年4月28日

Week 3 of the course does not have a practice problem for batch normalization. Wanted to implement it and learn.

創建者 Ramachandran C

2019年10月6日

I found the video lectures useful to understand the concepts, but the programming exercises are over-simplified.

創建者 Carlos V

2020年6月20日

Would give more stars if the final assignment used Tensorflow@ and not an outdated version that is not in use.

創建者 Pranshu D

2018年3月6日

More tensorflow related tutorials should have been there. The lectures turned a little boring and redundant.

創建者 Adrian C

2017年11月30日

So far, I think this course is weak on theory, seems rushed and should provide more in depth lecture notes.

創建者 Vincent D W

2019年10月26日

Encounter Error in the final assignment, cannot complete the model, but the grader gives 100/100 anyway.

創建者 Amit C

2019年2月1日

I wish the course mentors were more active on this course makes it a bit difficult to clear doubts

創建者 Laura L

2018年3月22日

It does not make you think of the problems, just fill in the gaps. First course was better.

創建者 Mostafa A E N

2020年7月29日

Programming assignments are too easy and the answer is already given before the question.

創建者 harsh

2020年6月28日

Tensorflow is not at all user friendly, I'm sure better alternatives would've been there.

創建者 Aviv D

2020年4月25日

I recommend adding a summary page at the end of each week to make sense the mathematics.

創建者 Tanurima M

2020年7月4日

The course is outstanding just the tensorflow library should be taught more in details.

創建者 Pranjal S

2020年5月15日

The technologies and the assignments should be updated to follow the latest standards

創建者 Chaobin Y

2017年11月3日

Maybe this course can merge with the 1st one. they both cover too little materials.

創建者 AHMED A H P

2020年9月12日

WEEK-3 was a little bit messy, it would have been better if it was tensorflow 2

創建者 joel a

2020年4月25日

taught concepts well, but the programming assignments felt like it was spoonfed

創建者 Xin H

2018年5月12日

Good: Contents on Tensor Flow

Bad: No real useful content compared the Course 1.

創建者 Péter D

2017年10月6日

great lectures, simplistic programming assignements, ridiculously easy tests

創建者 SAMBATH S

2020年8月2日

It would be better to use TF2 as there are lots of changes in the usages.

創建者 笛 王

2018年1月18日

Harder to understand. Overall quality is not as good as the first class.

創建者 Kenneth Z

2018年3月20日

It is a bit abrupt to jump into tensorflow without explaining in depth.

創建者 Rishab K

2020年4月17日

good course to learn, but more assignments should be introduce n week3