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

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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：

4276 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4300 个评论（共 7,286 个）

创建者 Yang G

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Jul 24, 2018

Very useful for practitioners

创建者 李润华

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Jul 4, 2018

good lessons, really like it!

创建者 Matthew S

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May 8, 2018

Very in depth. Perfect speed.

创建者 Jiahao Z

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Mar 30, 2018

Lab excersise really helpful!

创建者 Mateo R O S

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Feb 19, 2018

Andrew Ng is a great teacher!

创建者 Adarsh K J

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Jan 15, 2018

awesome course, learned a lot

创建者 Desigan P

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Dec 13, 2017

Excellent! Thank you Prof Ng.

创建者 Vidur S

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Dec 7, 2017

Really smooth and informative

创建者 joao c

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Nov 6, 2017

As good as expected. 5 stars!

创建者 Quan C

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Nov 5, 2017

非常感谢吴恩达老师教授讲授的知识，以及幕后工作人员的努力！

创建者 Ethan

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Oct 3, 2017

help me a lot! thanks Andrew~

创建者 Venkat K

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Oct 2, 2017

Excellent, practical material

创建者 YaQiong X

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Sep 19, 2017

The course is really helpful!

创建者 YUE Z

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Aug 20, 2017

very accessible and practical

创建者 Edward K

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Mar 8, 2022

Great content in the course!

创建者 John J

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Apr 12, 2021

Well laid out and organized.

创建者 Илья В

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Mar 23, 2021

Очень хороший курс, Спасибо!

创建者 이지평

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Feb 16, 2021

Good Tutorials for beginners

创建者 Dafne N C T

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Dec 31, 2020

Excelent. I'm learning a lot

创建者 Guofeng L

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Dec 16, 2020

明明课程已经完结了，为什么开启不了此专项课程的下一门课？

创建者 ali o

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Sep 29, 2020

Very helpful, thanks Andrew.

创建者 Unnat T

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Sep 21, 2020

good learning experience....

创建者 raktim m

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Aug 27, 2020

This course is very helpful.

创建者 anuj g

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Aug 5, 2020

great content best professor

创建者 Arkadip M

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Jul 10, 2020

Great course, very detailed.