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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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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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

2376 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2400 个评论（共 7,286 个）

创建者 Bach T T

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Feb 1, 2019

It's great to know how to adjust hyperparameters and make my NN work more efficiently

创建者 Vimal M

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Dec 16, 2018

Best course to understand the effect of different hyper parameters on model accuracy.

创建者 yangbaoshan

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Aug 25, 2018

非常好的课程，吴恩达老师讲解的十分透彻，并且有非常好的，练习环境，对于巩固课程学习的知识十分有帮助，最后再次感谢吴老师团队的精心制作。感谢coursera团队的帮助谢谢。

创建者 Arvind M

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Jun 6, 2018

Topic covered in this course will really help data scientist to improve ones DL model

创建者 Ben L

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Jun 2, 2018

Very good content and teaching approach! Already recommended the course to my friend!

创建者 강성훈

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May 22, 2018

This is the best course for people who are studying Deep Learning for the first time.

创建者 Nagaraja N

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Feb 17, 2018

Really liked TensorFlow programming framework. Wish we can cover deeper in TendorFlow

创建者 Jasneet S

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Jan 20, 2018

Excellent course providing the details on how deep learning networks can be optimized

创建者 Harshit S

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Nov 12, 2017

Really good exposure to practical application as well as machine learning frameworks.

创建者 Fabio B

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Oct 29, 2017

The course covers some key aspects of implementation of algorithms for deep learning.

创建者 Devraj A

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Oct 20, 2017

This course is very well designed and provides a comprehensive review of the subject.

创建者 Grant H

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Sep 24, 2017

As good as the first course in the specialization, Neural Networks and Deep Learning.

创建者 李培春

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Aug 31, 2017

Great course! I really love Andrew's teaching method, and the programming assignment.

创建者 Sven W

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Aug 29, 2017

Very intuitive and well explained... I highly recommand...

Thanks for the amazing job!

创建者 zulfiqar a

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Oct 22, 2021

This course covers most beneficial content related to hyperparameter optimization .

创建者 Timur B

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Sep 28, 2021

Very thorough and step by step learning, you actually think that you know something!

创建者 Navid K

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May 8, 2021

It was a distinguished course, thank you Coursera, Andrew Ng and others contributes.

创建者 Chandan K S

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Oct 13, 2020

amazing **********/**********thanks Andrew sir for such a great course. thanks again

创建者 Joseph S

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Sep 11, 2020

Excellent mix of theoretical and practical. I will use this to solve real problems.

创建者 Patrick L R

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Aug 24, 2020

Gives a lot of intuition to problems that are commonly occurring in machine learning

创建者 Pushpendra G

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Jun 18, 2020

One of the best courses on Deep Learning available here. Thank you to Andrew Ng Sir.

创建者 S A

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Mar 22, 2020

An amazing course. Can't wait to explore the other courses under this specialization

创建者 Dasha G

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Nov 13, 2019

Great course to go through some practical aspects of building a deep neural network!

创建者 Mohammad A P A

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Oct 25, 2019

great course,homeworks were kinda easy but the overall content was great. thank you.

创建者 Saida C

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Sep 2, 2019

Really loved working through the programming assignments and validating my learning.