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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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63,494 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：

4226 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4250 个评论（共 7,283 个）

创建者 Masoud M H

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Apr 25, 2020

Very good practical assingment

创建者 Ratnakar M

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Feb 2, 2020

Glad to have done this course.

创建者 Karan A

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Jan 26, 2020

Notebooks didn't work properly

创建者 Hubert S

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Dec 5, 2019

Excellent content thanks a lot

创建者 Eugene L

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Nov 29, 2019

Overall great and substantive.

创建者 曹世朋

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Oct 12, 2019

没想到我也能用自行推导Adam，真是太酷了，谢谢吴恩达老师！

创建者 Koosup

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Aug 5, 2019

hyperparameter에 대해 잘 배울수 있었습니다

创建者 Han

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Jul 31, 2019

Excellent materials as always.

创建者 Bohdan B

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Jul 15, 2019

Andrew Ng my favorite lecturer

创建者 claudius t

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Jun 3, 2019

This course is EXCEPTIONAL!!!

创建者 Alper B

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Mar 23, 2019

this is best course i've taken

创建者 Ishaan

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Mar 5, 2019

very nice course i loved it :)

创建者 Tayeb B

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Feb 10, 2019

Best deep learning course ever

创建者 江逸群

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Jan 9, 2019

Thanks so much for this course

创建者 gangadhar a

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Jan 3, 2019

Great Learning . Thanks a Lot

创建者 Anqi M

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Oct 19, 2018

Amazing. The more, the better!

创建者 Emmanuel R

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Jun 19, 2018

Very interesting and practical

创建者 ismael B

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Apr 28, 2018

great course! thank you Mr. ng

创建者 Jelmer O

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Mar 22, 2018

Amazing course, very in depth!

创建者 Liang X

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Mar 11, 2018

Got so many practical skills.

创建者 Mischa L

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Feb 10, 2018

Excellent intermediate course!

创建者 Martin W

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Sep 24, 2017

Really nice described concepts

创建者 Huaiwei C

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Aug 20, 2017

Very Useful and easy to learn!

创建者 Arthur C

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Aug 20, 2017

Great practical class. Thanks!

创建者 Dr. M S

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Dec 3, 2023

Awesome course. Much learning