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

XG

Oct 31, 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.

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:

5751 - 5775 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By ANURAG B

•

Dec 23, 2020

Awesome

By Muhamad Z F

•

Oct 29, 2020

awesome

By Виталий В

•

Aug 23, 2020

perfect

By Alexander C

•

Aug 5, 2020

Thanks!

By Suman D

•

Jul 29, 2020

awesome

By Jose I L

•

Jul 16, 2020

UFFFFFF

By Andrew K

•

Jul 9, 2020

Thanks!

By Ingyu L

•

Jun 29, 2020

Amazing

By Goutham K K

•

Jun 27, 2020

Great.!

By yinlum

•

Jun 1, 2020

AWESOME

By Muhammed A

•

May 8, 2020

Perfect

By Darwin S H C

•

Apr 19, 2020

Thanks!

By Zhisheng Z

•

Mar 14, 2020

gogogo!

By Prabhat K M

•

Mar 2, 2020

Amazing

By Lydienne K

•

Feb 11, 2020

Thanks.

By Thành C V

•

Oct 22, 2019

Great!!

By Eman L E

•

Sep 1, 2019

Great !

By taeha k

•

Aug 18, 2019

Good~~!

By Prasenjit K

•

Jul 26, 2019

So Good

By 龚华君

•

Jul 18, 2019

Ok 收获良多

By Xiang D

•

Jul 6, 2019

学到很多 谢谢

By Khaled G

•

Jul 5, 2019

Great !

By Qiusi L

•

May 29, 2019

perfect

By ChenTianyi

•

Mar 31, 2019

amazing

By 唐章源

•

Mar 27, 2019

perfect