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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：

2601 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2625 个评论（共 7,283 个）

创建者 Mi Z

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Aug 5, 2021

excellent course, thanks for taking me to open the door of DL&NN and also ML

创建者 Pablo L

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Oct 18, 2020

Great course, this time it's an excellent idea to have the tips on the code!

创建者 Dao M C

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Jun 28, 2020

Thanks very much to my teacher. The series very good to learn Deep Learning.

创建者 Akhil M

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May 25, 2020

Great course! A little more practice/programming assignments would be great!

创建者 harish h

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May 22, 2020

Best Ever course which I have took as a part of deep learning specialization

创建者 chandrika p

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May 10, 2020

Beautifully explained the concepts this course has enhanced my understanding

创建者 Sougat G

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Apr 10, 2020

Good course overall. I would have liked to know about more techniques though

创建者 Aziz B

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Feb 14, 2020

More tensorFlow would be nice, great course honestly great work on intutions

创建者 Raghu M

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Dec 6, 2019

Important to understand the influence of hyperparameters on every algorithm.

创建者 Ding W

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Oct 23, 2019

I've learned a lot and appreciate for all the efforts Professor Ng has done.

创建者 SINHYUK Y

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Sep 25, 2019

Thank you for the best lecture.

I learned a lot about hyperparameter tuning.

创建者 李汶峰

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Apr 29, 2019

The course is useful, but there is some confusing mistake in some notebooks.

创建者 Mohamed S R I

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Apr 28, 2019

I enjoyed my learning experience throughout this course! Highly recommended.

创建者 Alberto M C

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Feb 8, 2019

Daunting material to go through, but massively important and well explained!

创建者 Ashutosh K

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Aug 17, 2018

One of the best courses on the internet for tuning your deep neural network.

创建者 Miao J

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Aug 3, 2018

Very good course. Make it easier to understand optimization of deep learning

创建者 Amarendranath S

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May 16, 2018

Its really very helpful. Thank you Andrew Sir and his team. You are awesome.

创建者 Sayed H

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May 7, 2018

Very nice class. I am getting lots of good ideas on optimization in general.

创建者 Svetoslav V

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Feb 25, 2018

In-depth and easy to understand material on a very complex topic. Well done!

创建者 WAI F C

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Dec 8, 2017

It is invaluable to learn the Adam Optimazation Algorithm and how to use it.

创建者 Begoña

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Nov 27, 2017

Great course! A very difficult subject, beautifully explained. Bravo Andrew!

创建者 Miguel M

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Nov 15, 2017

Great course, it covers the details of building neural networks really well.

创建者 Nitin P

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Oct 8, 2017

Amazing intuitions for complex theories. Thank you Professor and Coursera :)

创建者 Imaculate M

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Aug 26, 2017

I gained an intuitive understanding of the different optimization techniques

创建者 Runmin

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Aug 23, 2017

Very good course. A little bit more practice with TensorFlow will be better.