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
63,507 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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

4401 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4425 个评论（共 7,286 个）

创建者 Virender p s

•

Jun 24, 2019

Thank You for this course!

创建者 Hui L

•

Jun 2, 2019

Very useful and practical!

创建者 Mrinalini S

•

May 11, 2019

A very interesting course!

创建者 Apoorav G

•

May 6, 2019

As always, amazing course!

创建者 Abhishek S

•

Mar 10, 2019

Awesome Course. A must do.

创建者 Wang W

•

Feb 4, 2019

講解的很清楚，作業難易適中，做完會對教的東西更有感覺

创建者 Muhammad J K

•

Dec 18, 2018

Yet another amazing course

创建者 Felton Y

•

Nov 19, 2018

Incredibly useful for me!

创建者 hf

•

Nov 8, 2018

very good and very useful!

创建者 Jerome Z

•

Oct 14, 2018

Cool class and very useful

创建者 李均强

•

Sep 23, 2018

the course is really great

创建者 Timothy w N

•

Jul 23, 2018

Grader issues, frustrating

创建者 Jisheng L

•

Jun 14, 2018

Good course, easy to learn

创建者 Camilo A

•

May 27, 2018

Andrew is a great teacher.

创建者 Shaoqing Y

•

Apr 11, 2018

Very good series of course

创建者 Matthias P

•

Apr 4, 2018

In depth! Learned so much!

创建者 Yasser K

•

Mar 29, 2018

Excellent course as usual!

创建者 Inderjeet S

•

Mar 2, 2018

Great course.Thanks Andrew

创建者 Ali E

•

Feb 13, 2018

Great intro to Tensorflow!

创建者 Steffen R

•

Jan 25, 2018

that is just simply great!

创建者 Mohamed A

•

Dec 30, 2017

The course is so organized

创建者 GRA V

•

Dec 6, 2017

very nice !! thanks Andrew

创建者 Xiao M

•

Nov 9, 2017

nice course, learnt a lot!

创建者 Bobby

•

Oct 19, 2017

I love it, very insightful

创建者 Chuck M

•

Oct 4, 2017

Valuable practical advice.