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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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63,493 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

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

筛选依据：

3976 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4000 个评论（共 7,283 个）

创建者 Kanwal

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May 9, 2020

Very informative and well presented.

创建者 Muthyam S

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May 6, 2020

tensorflow explanation was very good

创建者 Yves D

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Apr 19, 2020

Well developed and delivered course!

创建者 Jinan Z

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Feb 3, 2020

Programming exercise was too simple.

创建者 Gal E

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Oct 5, 2019

Awsome course! learned a lot from it

创建者 Muhammad U B I

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Aug 26, 2019

Extraordinary, Claps to Andre Ng. :)

创建者 Chris M

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Aug 21, 2019

Again, top notch content. Well done!

创建者 Aditya G

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May 31, 2019

In love with Andrew NG. Huge respect

创建者 Mohab D

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Apr 21, 2019

top of top courses in deep learning

创建者 Santiago G

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Apr 6, 2019

Excellent! Great as I was expecting!

创建者 Duy-Hung N

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Jan 4, 2019

Thank you Andrew Ng you are my idol.

创建者 jia-you, C L

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Nov 2, 2018

Thanks for this class what I learned

创建者 Samuel H

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Oct 28, 2018

Lots of very useful information here

创建者 sumeet r

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Oct 12, 2018

Very informative and quintessential.

创建者 Jeromenicholas

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Oct 2, 2018

Extremely useful.

Andrew is a genius.

创建者 Michael P

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Sep 6, 2018

Good explanation of RMSprop and Adam

创建者 Pierre F

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Jun 19, 2018

Complete and well explained. Thanks.

创建者 isaac b

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Jun 8, 2018

Another great course from Andrew Ng!

创建者 Nicholas K

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May 13, 2018

Good mix of theory and hand-holding!

创建者 Trace L

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Feb 26, 2018

Another stellar course by Andrew Ng!

创建者 Carlo C

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Jan 24, 2018

Super well done! Thanks! Very clear!

创建者 Vipul P

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Jan 14, 2018

Thank you Andrew, very good material

创建者 Arvind S

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Jan 2, 2018

Awesome and extremely useful course!

创建者 Cong C

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Dec 28, 2017

Contents are almost state of the art

创建者 Calvin L

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Dec 24, 2017

Programming exercises were too easy.