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

学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

4.9
63,493 个评分

课程概述

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....

热门审阅

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

RR

Jun 12, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

筛选依据:

3926 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3950 个评论(共 7,283 个)

创建者 DIPTESH B

Sep 4, 2020

It was an amazing course, Thank You!!

创建者 Md A A A

Aug 23, 2020

Very helpful and well designed course

创建者 George S

May 23, 2020

Really well taught and easy to follow

创建者 Ryan B

May 8, 2020

Course was awesome! All hail MOOCS's!

创建者 Eli B

Feb 7, 2020

This is a phenomenal course. 5 stars.

创建者 arnab s

Nov 30, 2019

Very well explained concept as usual.

创建者 Sandip S

Nov 11, 2019

Excellent course content and lectures

创建者 Ravi R

Oct 14, 2019

Thoughtful and in detail explanation.

创建者 Kanghoon Y

Sep 2, 2019

Satisfied specially tensorflow guide.

创建者 Fangda X

Aug 19, 2019

not bad; seems well prepared lectures

创建者 허재원

Aug 1, 2019

It was a perfect course!! Thank you!!

创建者 Mostafa G

Jul 15, 2019

Great lecture on deep neural networks

创建者 Saurav M

Apr 22, 2019

Assignments were amazing liked them!!

创建者 Rohan K

Feb 24, 2019

Phenomenal course on in deep learning

创建者 nadaradjane

Feb 4, 2019

Excellent. Need your slides, Mr Ng!!!

创建者 Raunak N

Jan 19, 2019

Thanks for such a remarkable teaching

创建者 周佳博

Sep 24, 2018

字幕可以只是单一语言的字幕,比如:不必同时是英文和中文并存,这样会当掉屏幕

创建者 Mohamed B

Aug 12, 2018

Very good course. Really enjoyed it.

创建者 吴京城

Aug 8, 2018

Very nice, step-by-step instructions!

创建者 jayanta m

Jul 30, 2018

Got idea about regularization and all

创建者 Debjyoti B

Jun 2, 2018

Perfect course for intermediate level

创建者 George L

May 31, 2018

Excellent Course, very practical tips

创建者 Mike R

Mar 15, 2018

another clear and to the point course

创建者 Soumyanil B

Mar 4, 2018

Excellent and very informative course

创建者 Szymon B

Mar 4, 2018

Lots of valuable practical knowledge.