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
63,148 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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

Filter by:

4926 - 4950 of 7,247 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Margareth P

•

Jul 10, 2018

Excellent course

By Subham T 1

•

Jun 18, 2018

very nice course

By Paraskevas P

•

Jun 14, 2018

5 Stars Mr. Ng !

By TOLGA A K

•

Jun 14, 2018

excellent work..

By L C

•

May 20, 2018

Really helpful !

By Wu B

•

May 20, 2018

Like this course

By Gustavo C

•

May 15, 2018

Excelente curso.

By Benjamin B

•

May 6, 2018

amazing as usual

By cuichunli

•

May 2, 2018

very good course

By rahul p

•

May 2, 2018

Fantastic course

By Fang Y

•

May 2, 2018

上课听不懂，全靠吴老师了，大赞！

By Oznobin R A

•

May 1, 2018

Very usefull !!!

By 张旭东

•

Apr 29, 2018

very good course

By Ashwini k p

•

Apr 27, 2018

Excellent course

By Waqas E

•

Apr 9, 2018

Excellent Course

By zhenyue z

•

Apr 7, 2018

keep on learning

By Sougata B

•

Apr 1, 2018

Excellent course

By 张雅茹

•

Mar 15, 2018

useful，thank you

By Lee R

•

Mar 6, 2018

Excellent course

By Jitendra M

•

Mar 4, 2018

Amazing course!!

By tinyalpha

•

Mar 2, 2018

very impressive!

By Samuel P P J

•

Feb 27, 2018

Very Good Course

By Kingshuk D

•

Feb 14, 2018

Excellent course

By Alex A

•

Feb 8, 2018

Best course ever

By Qiuyuan H

•

Jan 5, 2018

highly recommend