Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,316 ratings

About the Course

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....

Top reviews

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

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.

Filter by:

6026 - 6050 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By jinntaoo

•

Sep 5, 2017

OK.

By Aditya J

•

Nov 19, 2024

ok

By ARTURO R G

•

May 24, 2020

:)

By 罗丽莹

•

Apr 10, 2020

很棒

By 王攀成

•

Mar 17, 2020

很棒

By Juncheol Y

•

Feb 14, 2020

^^

By Ming G

•

Aug 25, 2019

gj

By liangsheng

•

Jul 22, 2019

很好

By Hiroaki K

•

Apr 24, 2019

最高

By I l N

•

Apr 9, 2019

超棒

By Cruel

•

Mar 16, 2019

ok

By 侯宇翔

•

Dec 11, 2018

牛！

By Pham X V

•

Nov 5, 2018

:

)

By Bilal M

•

Dec 11, 2017

:)

By MohammadSadegh Z

•

Jun 15, 2021

By 홍승은

•

May 7, 2021

-

By eduardo e

•

Jul 5, 2020

d

By Vinish R

•

May 27, 2020

g

By Yuanfang S

•

Jun 8, 2019

-

By Sarah Z

•

Nov 7, 2018

V

By 张帆

•

Aug 25, 2018

贵

By Insoo K

•

Jul 26, 2018

.

By Gilles A

•

Apr 13, 2018

G

By Deleted A

•

Feb 28, 2018

V

By veera Y

•

Jan 28, 2018

G