Chevron Left
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
星
63,507 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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

4526 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4550 个评论（共 7,286 个）

创建者 Anurag V

•

Mar 3, 2019

Andrew NG is awesome...

创建者 Erick A

•

Feb 16, 2019

Great, really enjoy it.

创建者 Onur A

•

Jan 22, 2019

Very instructive course

创建者 冯箫

•

Jan 14, 2019

非常好的课程，对我未来的研究和学习帮助很大！！

创建者 Thais C P

•

Sep 10, 2018

Complex, but excellent.

创建者 bhawana

•

Aug 7, 2018

very informative course

创建者 Line C

•

Jul 10, 2018

Well structured course!

创建者 Samuel N

•

Jun 11, 2018

Good for understanding!

创建者 BenjPau

•

Jun 9, 2018

i gained a lot. thanks.

创建者 Sunghwan B

•

May 28, 2018

Thanks for this course!

创建者 G C

•

Mar 24, 2018

Interesting and useful.

创建者 Farhad D

•

Mar 20, 2018

It's completely useful.

创建者 Tulsi J

•

Mar 14, 2018

This course is awesome.

创建者 吴鹏

•

Mar 13, 2018

Thank you,Learned a lot

创建者 Arash A

•

Jan 16, 2018

Useful and informative.

创建者 伍平伟

•

Dec 1, 2017

课程引导很容易让人接受，建议有课程要点总结文档

创建者 DayDayUp

•

Nov 28, 2017

harder than first class

创建者 blaze s

•

Nov 22, 2017

nice course,learn a lot

创建者 Guillermo C

•

Oct 30, 2017

Thorough and achievable

创建者 Alan L

•

Oct 25, 2017

project seems too easy.

创建者 Jiten R

•

Oct 8, 2017

Very informative course

创建者 Harvey D

•

Oct 4, 2017

very clear and advanced

创建者 Ola A

•

Sep 24, 2017

Very useful information

创建者 Serdar B

•

Sep 23, 2017

Very informative course

创建者 张宇旻

•

Sep 9, 2017

浅显易懂，通过课程对超参优化等有了深入的理解。