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
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:

3251 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3275 个评论(共 7,283 个)

创建者 Chien V

Aug 8, 2019

Great course, you should take to organise your knowledge

创建者 Tomás O

Jun 19, 2019

All the practical knowledge in this course is amazing...

创建者 Alexander R M

May 7, 2019

Very well structured course with many hands-on exercises

创建者 Ruiliang L

Jan 6, 2019

Help you get the best understanding of the deep learning

创建者 Marcelo F

Nov 24, 2018

It will help me to find solutions in ANN implementations

创建者 Leiyang L

Aug 15, 2018

老师讲的非常好,深入浅出,可以看出来老师认真地备了课,已经停了Andrew老师很多课了,非常非常感谢老师的付出。

创建者 Frederic D

Jun 24, 2018

Very interesting, Good continuation of the first module.

创建者 Khawar A A

May 18, 2018

excellent.. 7 stars.. more then 5. I really learnt alot.

创建者 Sushil S

Apr 1, 2018

A very important course for all deep learning enthusiast

创建者 Eldar K

Mar 23, 2018

Great way to introduce hyperparameters and tensorflow!!!

创建者 sagar s

Mar 20, 2018

With Respect, what a clarity on explaining the concepts!

创建者 Cristian R M

Feb 20, 2018

Very good mathematics even for people from Chemistry :-)

创建者 Julian R

Jan 8, 2018

Great lecture videos and very well-designed assignments.

创建者 Alexandru E

Dec 31, 2017

Fantastic course as we've gotten used to from Andrew Ng!

创建者 Felipe M

Dec 11, 2017

Nice course too, in the end it speeds up a bit too much.

创建者 Sergio D

Dec 9, 2017

excellent course! thanks a lot for putting this together

创建者 Thomas P

Oct 2, 2017

Course introduces exactly what it says it will introduce

创建者 Magesh R

Oct 1, 2017

Could have had extra tensorflow programming assignments.

创建者 Ariel H

Sep 13, 2017

Excellent strategies to implement a ML project!!! Thanks

创建者 manaranjan p

Sep 5, 2017

Excellent! Now I understood most of the deeper concepts.

创建者 M N

Aug 21, 2017

Excellent course from the legend Andrew Ng and his team.

创建者 성정환

Jan 8, 2022

One of the best deep learning lectures I've ever taken!

创建者 Ying T C

Jun 2, 2021

The assignments are very helpful, but a bit too simple.

创建者 Mahmoud H

May 24, 2021

I really like this course. thank you for the good work.

创建者 Shrirang D

Feb 10, 2021

Great insights, In-depth explanation for every concept.