Chevron Left
返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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
星
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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

筛选依据：

3951 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3975 个评论（共 7,283 个）

创建者 Tse-Yu L

•

Feb 18, 2018

Nice course, excellent course design.

创建者 Jitender S V

•

Jan 5, 2018

Awesome course by awesome teacher :))

创建者 Razvan B

•

Dec 17, 2017

Great explanations and very practical

创建者 Yuri V H V

•

Dec 1, 2017

the best course , I feel very excited

创建者 WANG H

•

Nov 29, 2017

Very practical and helpful ! Thanks !

创建者 Matías P B O

•

Nov 17, 2017

Awesome course as usual by Andrew Ng.

创建者 Sambram B

•

Nov 12, 2017

Amazing course covering great details

创建者 Andrew D

•

Oct 28, 2017

Deeper insight how tuning parameters.

创建者 Jurassic

•

Sep 24, 2017

Very good course. Highly recommended!

创建者 Ravikumar V

•

Sep 17, 2017

Crucial concepts very well explained.

创建者 Manash M

•

Aug 31, 2017

Awesome course! Strongly recommended!

创建者 Miriam F

•

Aug 17, 2017

Thank you again for this nice course!

创建者 Mithun K

•

Apr 21, 2023

Exceptional! Thanks Andrew and team!

创建者 Javier B R

•

Feb 14, 2023

Such a great course on deep learning

创建者 Boubacar D

•

Dec 31, 2022

Excellent cours j'ai beaucoup appris

创建者 A. R S U

•

Jun 17, 2021

Awesome materials with deep insights

创建者 Anirudh S

•

Oct 11, 2020

Great course! 10/10 would recommend!

创建者 Andrei S

•

Oct 11, 2020

Amazing course! Thank you Andrew NG!

创建者 Amos O O

•

Oct 10, 2020

Lovely course and a little bit tough

创建者 Gusti A F A

•

Aug 16, 2020

I really enjoy the course, thank you

创建者 aldo p

•

Jul 23, 2020

great course with detail explanation

创建者 Alan L

•

Jun 15, 2020

useful and very detail for beginners

创建者 Mike S

•

Jun 11, 2020

Awesome course! Thank you very much!

创建者 Rahul V H

•

May 14, 2020

Top instructor and rigorous content.

创建者 Deleted A

•

May 12, 2020

Learned everything taught at classes