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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

4.9
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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：

4101 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4125 个评论（共 7,283 个）

创建者 Shahid s

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Jul 26, 2020

Thank you for such amazing course

创建者 Amine

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Jul 19, 2020

Thank for this intresting course!

创建者 Kunal K

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Jun 28, 2020

Very much informative and helpful

创建者 ADARSH R

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Jun 23, 2020

Great course, his helped me a lot

创建者 Sivagnana S S P

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Jun 15, 2020

Nice presentation by Mr.Andrew ng

创建者 Abu M R

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May 5, 2020

Simply great learning experience!

创建者 Or M

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Apr 4, 2020

very professional, very practical

创建者 Janis R

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Jan 25, 2020

Nice intro to TensorFlow, thanks!

创建者 Bhavesh W

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Jan 1, 2020

Great Learning from this course!!

创建者 Waqas A

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Dec 2, 2019

Awesome course. Programming rich.

创建者 Haris P D

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Oct 20, 2019

A must take course for beginners.

创建者 Shengyang L

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Oct 1, 2019

Thanks a lot coursera！Well done.

创建者 虞舒然

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Sep 27, 2019

Very Useful and detailed Contents

创建者 Matias A

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May 27, 2019

Very good and interesting course.

创建者 Haoran C

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Feb 23, 2019

I learned a lot from this course.

创建者 Zoya

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Jan 26, 2019

Awesome course! Learned a lot! :D

创建者 Jorge B

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Jan 4, 2019

Very practical, clear and useful.

创建者 Brandon C

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Dec 6, 2018

Great info, and intuition sharing

创建者 Max B

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Nov 21, 2018

Great course, highly recommended!

创建者 reggie

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Oct 15, 2018

very helpful for tuning our model

创建者 Vishal Y

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Sep 23, 2018

Hands down. Keep up the good work

创建者 Sreedhar U

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Sep 5, 2018

Very crisp and clear explanation.

创建者 Bhaskar G

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Aug 7, 2018

gives nice idea about tensorflow.

创建者 罗成毅

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May 30, 2018

I just want say, thank you a lot.

创建者 Bart W J

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Apr 4, 2018

Pacing and structure are perfect.