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
63,175 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 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

XG

Oct 30, 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:

4901 - 4925 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By yotsawan c

Sep 1, 2019

highly recommend

By Xinghua J

Aug 28, 2019

very use course.

By ANKUR G

Aug 21, 2019

very informative

By Amal J

Aug 14, 2019

Brilliant course

By Vamsi K G

Jul 31, 2019

In Depth content

By Arnav B

Jul 8, 2019

great learning!!

By Marcos C C

Jun 23, 2019

Great! course!!!

By William G

Jun 18, 2019

Awesome course !

By yi h

Jun 13, 2019

thank you andrew

By 张新会

Jun 6, 2019

课程非常棒,细节解释的非常详细。

By Enrique C

Mar 3, 2019

Excellent course

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 14, 2019

its very useful!

By pratik a

Jan 4, 2019

A great course!!

By Vikas K

Dec 23, 2018

must have course

By J K

Dec 23, 2018

Excellent course

By Ricardo N d R B

Dec 13, 2018

Excellent course

By Ganesh V K

Nov 24, 2018

Excellent Course

By Soumi S

Nov 20, 2018

very very useful

By Vinayak S

Sep 28, 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 !