Chevron Left
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
57,913 個評分
6,662 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....

熱門審閱

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.

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.

篩選依據:

6251 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6275 個評論(共 6,587 個)

創建者 Seth T

2018年3月26日

Short course but was really excited to delve into TF.

創建者 王婷

2018年2月16日

good PA examples, that could benefit my further study

創建者 Arhan G

2018年1月30日

Andrew is a great lecturer. The videos are excellent.

創建者 Hak K C

2018年4月5日

Course was concise and assignments were well guided.

創建者 Stuart R

2018年3月11日

Good course. Minor errors/typos in presented videos.

創建者 Venkatraman

2018年3月10日

Quite not challenging in the programming assignments

創建者 uday y

2020年4月30日

Tensorflow assignment should be modified to use 2.x

創建者 Dmitry K

2020年4月14日

TensorFlow should be updated to the latest version.

創建者 Fangshi L

2019年5月19日

Good course, although some bugs in homework grading

創建者 Sumeet R

2019年2月10日

very good course - gets to practical aspects of ML!

創建者 Juan O

2017年12月2日

Having slides like in other courses will be helpful

創建者 SENCHANDRA

2019年12月24日

There should have been more exercise on tensorflow

創建者 Gopal M

2019年9月14日

TensorFlow is a bit nebulous.I need more practice.

創建者 Jean-Marc S

2018年12月27日

The syntax and logic of tensorflow is a bit blurry

創建者 Daniel F P R

2018年12月17日

Was great! Would have loved to see more tensorflow

創建者 김연희

2018年12月11日

좋은 강좌입니다. 단 한글 번역 부분에 오류가 많습니다. 이후에는 수정되었으면 좋겠습니다.

創建者 Shaun M

2018年7月8日

Good follow-on from course 1 of the specialization

創建者 Mohammad M R

2018年1月3日

Sorry for the last review - the quiz can be saved.

創建者 Gopala V

2017年10月24日

Definitely improved my understanding on the tuning

創建者 Erhan B

2017年10月20日

Assignments are mostly copy past from instructions

創建者 Agnes

2017年10月13日

it is very useful for the processing of modelling.

創建者 ZHE C

2017年8月17日

include key idea on the tuning of hyperparameters

創建者 pranav b

2020年1月28日

Best Course For Learning Hyper parameters Tuning

創建者 윤동준

2019年3月7日

REALLY USEFUL.

BUT IT IS BIT HARD FOR BEGINNERS.