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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：

3826 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3850 个评论（共 7,283 个）

创建者 Debadatta B

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Dec 31, 2018

One of the finest. Thank you Andrew Sir.

创建者 Zhuoli X

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Oct 21, 2018

great course, tho it's getting harder XD

创建者 Thomas V

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Oct 18, 2018

Thanks Andrew Ng. I enojoyed the course.

创建者 Hao X

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Oct 3, 2018

Great step-by-step lecture, very helpful

创建者 Shashikant P

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Jun 12, 2018

Another brilliant course from Andrew N.G

创建者 ROBUST

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Jun 8, 2018

Thank you, This course is help me a lot.

创建者 蔡聪怀

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May 4, 2018

老师讲得非常赞！！而且课后的编程题目做得非常用心！！最后的证书非常的有成就感！！

创建者 Jami H

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Jan 5, 2018

Perfect course to learn the fundamentals

创建者 王宇晟

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Jan 1, 2018

thanks andrew! this class help me a lot！

创建者 Jesús P A

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Dec 5, 2017

Interesting contents and amazing teacher

创建者 Robin S

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Dec 2, 2017

best course in the whole specialization!

创建者 Paul H

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Nov 27, 2017

Awesome thats pretty much the best word!

创建者 Ameya G

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Oct 22, 2017

Covers batch norm and optimizers nicely.

创建者 Mostafa A

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Oct 16, 2017

well written course and concise material

创建者 Edward D

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Oct 8, 2017

Really enjoy the last tensorflow project

创建者 Oleksandr M

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Oct 5, 2017

Very useful algorithms and tips. Thanks!

创建者 Ofir B

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Aug 23, 2017

This course is bright and clear as usual

创建者 IOANNIS S

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Jul 26, 2023

amazing course! excellent tutor! thanks

创建者 Vladimir K

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Aug 5, 2022

very smooth introduction to TensorFlow!

创建者 Chetan B

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Jul 29, 2022

it is well design course thanks corsera

创建者 Đạt L m

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Apr 17, 2022

Awsome 10/10 would definitely recommend

创建者 WEI D

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Jun 21, 2021

Thank you Deeplearning.ai and coursera!

创建者 Nico S

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Mar 18, 2021

Amazingly clear, interesting and useful

创建者 Muhammad K K

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Oct 22, 2020

Learned tiny details about optimization

创建者 Naveen V

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Sep 22, 2020

awesome content with good review system