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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

4.9
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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：

4076 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4100 个评论（共 7,283 个）

创建者 SW J

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Dec 21, 2018

It's very much helpful. Thank you.

创建者 Yash H J

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Dec 16, 2018

Improved by knowledge drastically!

创建者 Thomas R

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Nov 3, 2018

Professor Andrew Ng, thanks a lot.

创建者 Haitao C

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Nov 1, 2018

Great course, clear, easy to learn

创建者 Kedar D G

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Aug 28, 2018

awesome explaination by Sir Andrew

创建者 Goodorc

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Aug 6, 2018

Much harder than the first lesson.

创建者 byehero

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Jul 18, 2018

我非常喜欢这门课程，内容很详细，我能听懂，而且可以自己能实现一些应用

创建者 leauyn

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Jul 7, 2018

Great course, wonderful assignment

创建者 Iraklis K

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Jun 24, 2018

Great course! Very well organized!

创建者 zhaochengshuai

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May 6, 2018

wonderful class, I reall enjoy it!

创建者 J

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Mar 14, 2018

this course have interesting thing

创建者 ESWAR L

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Feb 20, 2018

very concise lectures by Andrew NG

创建者 Milos D

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Dec 31, 2017

Excellent as every one from Andrew

创建者 Tony Z

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Dec 5, 2017

Excellent course in deep learning.

创建者 Aaron W

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Oct 21, 2017

easy understandable, good teaching

创建者 Jean M A S

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Oct 18, 2017

Very good, like the first course !

创建者 Zhi-lin L

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Oct 8, 2017

Ng tell you how to nudge the model

创建者 hangtian.jia

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Sep 29, 2017

Great! Very fundamental materials!

创建者 Hussein M

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Sep 18, 2017

Great and very interesting course.

创建者 Iosif D R

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Sep 12, 2017

Sharp, fast, optimal and rewarding

创建者 王兆昱

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Aug 29, 2017

Very good course, thank you Andrew

创建者 Maolin G

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Aug 24, 2017

well organised, densy information.

创建者 Saai V P

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Sep 6, 2020

It was very useful and intuitive.

创建者 Priyabrat D

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Aug 19, 2020

Prof Ng and his team are awesome!

创建者 T K

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Aug 15, 2020

Thanks for building my intuitions