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
62,825 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

AM

Oct 8, 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

Filter by:

4026 - 4050 of 7,216 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Kaung H H

May 23, 2022

Easy, Understandable explanations.

By Shreya S

Sep 14, 2021

Amazing Content ! Very Insightful!

By Xixi Y

Oct 28, 2020

excellent material and organiztion

By MoChuxian

Sep 24, 2020

very nice course, thanks very much

By Ananya P

Aug 31, 2020

great course!!! Thoroughly enjoyed

By Pranav M

Jul 22, 2020

Best Course of the Specialization!

By Sreetama S

Jun 6, 2020

Very helpful course. Thanks a lot!

By SANTAHANAMARI

May 15, 2020

Very Clear presentation. Excellent

By Lester P

Apr 19, 2020

Quedo muy satisfecho con el curso.

By Lam L

Apr 17, 2020

Very detail and easy to understand

By Suraj V

Feb 28, 2020

Very good course for deep learning

By Govind M

Feb 11, 2020

lots of learning with key concepts

By Ulas M C

Dec 11, 2019

Easy to follow, great assignments.

By 홍진우

Dec 1, 2019

좋았습니다. 많은 내용을 실무에 적용할 수 있을 것 같습니다!

By Jannah P

Oct 28, 2019

just as great as the first course!

By Gustavo R L

Sep 21, 2019

Very good explanation about tuning

By salim m

Jul 19, 2019

Excellent, i like the assignments.

By 王明

Jun 15, 2019

课程指导非常详细,尤其配合编程作业,原理与实践结合,非常透彻,喜欢!

By SW J

Dec 21, 2018

It's very much helpful. Thank you.

By Yash H J

Dec 16, 2018

Improved by knowledge drastically!

By Thomas R

Nov 3, 2018

Professor Andrew Ng, thanks a lot.

By Haitao C

Nov 1, 2018

Great course, clear, easy to learn

By Kedar D G

Aug 28, 2018

awesome explaination by Sir Andrew

By Goodorc

Aug 6, 2018

Much harder than the first lesson.

By byehero

Jul 18, 2018

我非常喜欢这门课程,内容很详细,我能听懂,而且可以自己能实现一些应用