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
63,296 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 9, 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

AS

Apr 19, 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:

4601 - 4625 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Amr B

•

Apr 18, 2020

great course as usual

By Mehedi S

•

Mar 31, 2020

Beautifully organized

By PURUSHOTHAMAN S

•

Mar 30, 2020

Wonderful course!!!!!

By Snow H

•

Mar 23, 2020

Really helpful for me

By Prashant A

•

Feb 16, 2020

Very good instruction

By Rakesh D

•

Jan 15, 2020

Excellent as always..

By Hamza K J

•

Dec 23, 2019

Excellent experience.

By 朱泓润

•

Dec 4, 2019

Very good and useful!

By Sagar P

•

Oct 25, 2019

It was good learning.

By Siniša B

•

Aug 20, 2019

Thank you, Andrew Ng!

By Mohammed Y M

•

Aug 17, 2019

As always... too good

By Leo C

•

Aug 3, 2019

Wish it were in java!

By Tim R

•

Aug 3, 2019

concrete and straight

By Xuecong L

•

Apr 25, 2019

Learnt a lot, thanks!

By Luis G

•

Sep 27, 2018

Excellent, as always.

By M S

•

Sep 22, 2018

IT was a great course

By hiyouga

•

Sep 11, 2018

A very useful course!

By anis

•

Sep 9, 2018

the best course ever!

By David B

•

Sep 9, 2018

Continued brilliance.

By Tran T D

•

Aug 8, 2018

another great course!

By Laurenz R

•

Jun 3, 2018

Very good explanation

By KIBO

•

Mar 25, 2018

very good ! Thank you

By Saurabh P

•

Feb 17, 2018

Very valuable course.

By Aleksei T

•

Jan 6, 2018

That was cool as well

By Ziemek T

•

Dec 30, 2017

great course, thanks!