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
63,467 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

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.

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

Filter by:

5451 - 5475 of 7,282 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Krzysztof R

•

Jul 10, 2021

Excellent!

By Roberto C L

•

Jun 29, 2021

Fantástico

By Karl G

•

Mar 1, 2021

Excellent!

By Oscar M

•

Jan 9, 2021

Excelente!

By Felipe M

•

Nov 29, 2020

Very Nice!

By Deepak C

•

Nov 11, 2020

A good one

By azhar s

•

Nov 7, 2020

fell happy

By Hamidreza G

•

Aug 13, 2020

so great:)

By Furkhat K

•

Aug 9, 2020

very good!

By Haohan Z

•

Jun 23, 2020

very good!

By Sarang P

•

Jun 16, 2020

Conceptual

By Christine C

•

Jun 8, 2020

fantastic!

By Laxmi P

•

May 19, 2020

thnaku sir

By VITTE

•

May 11, 2020

Excellent.

By Shauvik D

•

Apr 26, 2020

Excellent!

By CLAUDIO C D R

•

Apr 17, 2020

Fantastic!

By Stefan O B

•

Apr 13, 2020

Excellent!

By Anastasia

•

Mar 15, 2020

Thank you!

By Mengting J

•

Feb 10, 2020

Super good

By Yuanxin L

•

Feb 2, 2020

Very good!

By Benjamin C

•

Jan 15, 2020

Very good!

By Benoît T

•

Oct 3, 2019

Very nice.

By Daniel A G E

•

Sep 24, 2019

Beautiful.

By 区冠文

•

Sep 1, 2019

条理清晰，收益匪浅！

By 尤玥

•

Aug 4, 2019

very nice!