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
63,248 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

Filter by:

6976 - 7000 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By SK I R

•

Jun 1, 2020

More mathematics expecting

By Wong C H

•

Mar 3, 2018

Useful but not very unique

By Jonathan D

•

Feb 10, 2020

Challenging and rewarding

By Clemens T

•

Sep 26, 2017

Learned lots of new stuff

By Akshat A

•

Feb 20, 2019

Concepts and intuitions.

By luca s

•

Nov 7, 2017

Some error in assessment

By Mihir T

•

Nov 5, 2017

A

v

e

r

y

i

m

p

o

r

t

a

n

t

c

o

u

r

s

e

.

By Partha S

•

Apr 22, 2020

Audio could be clearer.

By ashwin m

•

Jun 30, 2019

Very nice,good learning

By Manuel F M R

•

Dec 27, 2018

Good job! Thanks a lot.

By Georgios K

•

Feb 23, 2018

A great course as well.

By ASTRID J V M

•

May 5, 2022

a Little hard concepts

By Mayuresh p

•

Jun 22, 2020

Course is really good.

By Aman B

•

May 28, 2020

Simply Great course!!!

By suraj s

•

Jun 22, 2019

It was amazing course.

By Anna K W

•

Aug 15, 2018

homeworks too simple!!

By Wurihan

•

Mar 5, 2018

有点难懂，不过通过编程练习依然学到很多东西。

By 김진수

•

Feb 18, 2019

This course was good.

By Ruiming D

•

Jun 17, 2018

some kind of abstract

By 侯凌

•

Dec 1, 2017

Need slides and notes

By 石诚

•

Nov 21, 2017

week 3 has some typos

By Amardip G

•

Apr 22, 2019

Useful for Debugging

By Cosmin D

•

Oct 10, 2018

Good course overall!

By Onkar P

•

Dec 29, 2017

Another Great Course

By Eamonn G

•

Sep 3, 2019

Overall good class.