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
63,245 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:

4451 - 4475 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By sonyfe25cp

•

Sep 30, 2017

very nice course! Thanks!

By Christian H

•

Sep 29, 2017

short but nice overview !

By 卢润坤

•

Sep 13, 2017

very good， very helpful!

By Diego V

•

Sep 12, 2017

Great introduction to TF!

By Hemant B

•

Sep 8, 2017

great course, worth doing

By Jelena M S

•

Jul 26, 2022

Great and useful course!

By Tuan N

•

Jul 18, 2022

thank you instructors <3

By Sandeep K

•

Jan 24, 2022

It was very good course.

By Saeed A

•

Oct 4, 2021

Thanks for your guidance

By Martin G M

•

Jul 31, 2020

This Course is excellent

By Alexander J

•

Jul 10, 2020

Really love this course!

By Aytan K

•

May 8, 2020

insightful and practical

By Zhipeng L

•

Apr 28, 2020

Very instructive course!

By Yuqicheng Z

•

Feb 9, 2020

einfach super, wie immer

By Akshay R

•

Nov 10, 2019

Also incredibly relevant

By Sourav S

•

Nov 8, 2019

Thank You for the course

By Julian O G

•

Jul 3, 2019

Muy completo y didactico

By yasser s

•

Mar 30, 2019

Thank you! Very helpful!

By Wei L

•

Jan 15, 2019

Fantastic course design!

By Jefferson R

•

Nov 5, 2018

Bastante útil y práctico

By Thanga M

•

Aug 1, 2018

Another excellent course

By Inderjeet S

•

Jun 13, 2018

Wonderful Explainations.

By Nguyen C T

•

Feb 12, 2018

It is easy to understand

By GNITOU T

•

Jan 10, 2018

I REALLY ENJOYED IT !!!!

By Li Z

•

Dec 26, 2017

Very Useful! Think you !