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
63,481 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 29, 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.

XG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

Filter by:

4926 - 4950 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Armand L

•

Feb 25, 2019

excellent course

By Zhenwei Z

•

Feb 5, 2019

Very good course

By Navruzbek K

•

Feb 2, 2019

very good course

By Yuting Z

•

Jan 15, 2019

its very useful!

By pratik a

•

Jan 4, 2019

A great course!!

By Vikas K

•

Dec 24, 2018

must have course

By J K

•

Dec 24, 2018

Excellent course

By Ricardo N d R B

•

Dec 14, 2018

Excellent course

By Ganesh V K

•

Nov 25, 2018

Excellent Course

By Soumi S

•

Nov 20, 2018

very very useful

By Vinayak S

•

Sep 29, 2018

Great Experience

By Rodion T

•

Sep 24, 2018

It's excelent!!!

By uma m r m

•

Sep 7, 2018

THe best course.

By Houman J

•

Sep 4, 2018

Just EXCELLENT !

By Carlos A

•

Aug 22, 2018

Excelente curso!

By Margareth P

•

Jul 10, 2018

Excellent course

By Subham T 1

•

Jun 19, 2018

very nice course

By Paraskevas P

•

Jun 15, 2018

5 Stars Mr. Ng !

By TOLGA A K

•

Jun 15, 2018

excellent work..

By L C

•

May 21, 2018

Really helpful !

By Wu B

•

May 20, 2018

Like this course

By Gustavo C

•

May 16, 2018

Excelente curso.

By Benjamin B

•

May 7, 2018

amazing as usual

By cuichunli

•

May 3, 2018

very good course

By rahul p

•

May 2, 2018

Fantastic course