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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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

筛选依据：

3851 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3875 个评论（共 7,283 个）

创建者 EDGAR G L D

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Aug 24, 2020

All I was hoping for the course, great!

创建者 Héctor P

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Aug 15, 2020

Great course, taugh me many new things.

创建者 Attili S

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Jul 19, 2020

excellent explanation from Andrew sir!!

创建者 Jebin R

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Jul 9, 2020

It was the best lecture=) Thanks a lot!

创建者 Mahit K P

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May 30, 2020

Excellent learning. Highly recommended.

创建者 Nisarg S

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May 9, 2020

Great and very well organized material.

创建者 Rishabh M

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May 7, 2020

detailed course with great explanations

创建者 Adityam G

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May 6, 2020

Amazingly taught. Loved all the modules

创建者 Daniel B

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Apr 17, 2020

Excellent course. You will learn a lot.

创建者 himanshu g

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Feb 5, 2020

very insightful and developed intuition

创建者 Wei A

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Oct 1, 2019

very useful. Ng's introducing is great!

创建者 Khushal M

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Mar 14, 2019

Helped me clear a lot of basic concepts

创建者 Yaqiu L

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Jan 21, 2019

A good course for deep learning novice.

创建者 Muhammed U

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Jan 19, 2019

Excellent Support and course materials.

创建者 Yuqing Z

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Nov 16, 2018

Even more useful than the first course.

创建者 David S

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Nov 7, 2018

A very rich course, I've learned a lot.

创建者 于云飞

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Oct 1, 2018

这是个非常好的课程，学习后受益匪浅，让我对深度学习有了进一步的了解，感谢老师！

创建者 Mykola S

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Jul 13, 2018

Great intro into Deep Learning! Thanks!

创建者 Nick B

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Jun 10, 2018

Excellent as always! Thanks Andrew sir.

创建者 jyhong

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May 27, 2018

A very meaningful course. It's perfect！

创建者 Wix Z

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Apr 15, 2018

It helps me a lot. Highly recommended.

创建者 steven c

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Apr 4, 2018

the learning process might be clarified

创建者 brightmart

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Mar 14, 2018

practical lessons learned, very useful.

创建者 Patrick E

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Jan 22, 2018

Very exciting and interesting material.

创建者 Arnaud G

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Jan 10, 2018

As always with Andrew Ng, great and fun