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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

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

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

筛选依据：

2651 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2675 个评论（共 7,283 个）

创建者 Lucas M

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Aug 26, 2022

Very practical applications of neural networks and enhancement techniques.

创建者 Fernando D U P

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Aug 20, 2022

Es un excelente curso!! Recomendadísimo para todos los colegas ingenieros.

创建者 Sajal H

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Nov 13, 2021

Very Usefull Learning. I learn a lot of basic techniques from this course.

创建者 Guy S

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Apr 28, 2021

Excellent course. Brings clarity to many advanced topics in Deep Learning.

创建者 Nosaybeh A P

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Mar 21, 2021

It was great course and it could be better with more labs. Thanks Coursea.

创建者 Daniel T

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Aug 25, 2020

There is so much information that I would not be able to get anywhere else

创建者 BRAYAN Z

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Aug 9, 2020

Tenia videos que no se podian reprodicir por mas que cambiara de navegador

创建者 Biswajeet S

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Jul 29, 2020

It was a really insightful course, which explained the features very well.

创建者 Peizheng L

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Apr 20, 2020

这门课程给我带来了很大的帮助，不像很多的DL课程从理论入手，比较枯燥晦涩，这门课讲解深入浅出，可以给初学者非常直观的感受，是一门很棒的DL入门课程。

创建者 Aehsas M

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Apr 11, 2020

This was a great experience. Learned a lot. Thank you for this opportunity

创建者 Surga K G

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Mar 24, 2020

Really good and clear explanation of concepts and thanks to Andrew NG sir

创建者 Ankit S

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Jul 2, 2019

excellent course

gives best experience for the practical as well as theory

创建者 Daniel C A

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May 20, 2019

Great course with a lot of hand-on exercises... Great TensorFlow module...

创建者 ZengChun Y

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Mar 31, 2019

Thank you Andrew. This course does help me learn more about deep learning!

创建者 Muhammad H B K

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Mar 30, 2019

Was an amazing course. There are few mistakes in final exercise of week 3.

创建者 Toi D V

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Mar 14, 2019

It's very useful with great insight on how to improve Deep Neural Networks

创建者 Sathish K G

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Mar 12, 2019

I like tensor flow assignment very much.

Overall the learning is very good.

创建者 sai p j

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Mar 3, 2019

Great course on Deep Learning. Thank you very much Andrew NG and Coursera.

创建者 Yash S

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Feb 6, 2019

i think the systematic method for hyperparameter tuning was the best part!

创建者 Patrick M

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Jan 29, 2019

Thank you so much for this course. It's been really insightful and helpful

创建者 Aravind D C

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Jan 28, 2019

Very good course to understand the nuts and bolts behind the deep learning

创建者 Juilee D

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Jan 20, 2019

very elegant course, with nicely structured assignments and study material

创建者 Mubashar N A

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Dec 23, 2018

improved my knowledge and thinking abilities about hyperparameters tunning

创建者 Sanjif R

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Nov 9, 2018

Very helpful in understanding how to tune networks to improve performance.