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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：

3651 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3675 个评论（共 7,283 个）

创建者 Saurabh J

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Sep 19, 2018

More practical real life examples would help.

创建者 Hussain B

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Aug 29, 2018

Highly recommend this course to the begineers

创建者 Ankit S

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Jun 13, 2018

Beautiful way of learning, Thanks Andrew Sir.

创建者 raj m

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Mar 27, 2018

Very well explained with practical scenarios.

创建者 Ankit P

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Mar 11, 2018

Simple explanations of complex optimizations.

创建者 Kiran B

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Feb 17, 2018

Thanks for making such great materials public

创建者 Rama K P

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Jan 26, 2018

Excellent course and thank you Andrew Ng sir.

创建者 Xingming L

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Jan 16, 2018

It is the best AI course I learned until now.

创建者 蜗牛爱上星星

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Dec 27, 2017

既可以通过视频学习理论知识，又能够通过在线编程实际实践。很容易掌握。真是不错的难得的课程！

创建者 Jin D

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Dec 21, 2017

Learned many useful and practical techniques!

创建者 李珂

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Nov 11, 2017

So many practical advices! Well done, Andrew!

创建者 Ananth K

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Sep 24, 2017

Professor Andrew's presentation is fantastic.

创建者 Jacky L

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Sep 10, 2017

Assignment is quite helpful and well designed

创建者 yunshan c

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Sep 2, 2017

课程很精彩，浅显易懂，受益匪浅。

建议：

希望能在每一个课题结束之后推荐一些更深入的文章资料。

创建者 Arnav M

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Aug 24, 2024

Great course per usual from DeepLearning.AI.

创建者 Анастасия А

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Nov 9, 2022

It was complicating, but really interesting!

创建者 P B

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Oct 1, 2021

yet another amazing course by Prof.Andrew NG

创建者 Gustavo A L M

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Apr 23, 2021

Dr. Andrew Ng is the best professor ever !!!

创建者 Dinesh K P

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Nov 16, 2020

Easy to follow steps, great indepth coverage

创建者 Brandon R

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Oct 1, 2020

As always, Andrew Ng is a fantastic teacher!

创建者 Tongxi L

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Sep 4, 2020

gives better understanding to neural network

创建者 Anchal M

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Sep 4, 2020

Very informative course...highly recommended

创建者 ANURAG A J

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Jul 8, 2020

Another one of the good courses by Andrew ng

创建者 Mamta S

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Jun 26, 2020

Perform program in the area of Deep Learning

创建者 V. S R

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Jun 1, 2020

Faculty is very good and examples are useful