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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
57,892 ratings
•
6,657 reviews

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 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.

NA
Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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4426 - 4450 of 6,582 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Howell Z

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Sep 11, 2017

Excellent course!

By Mouhamadou O S

•
Sep 4, 2017

Excellent course!

By Eric

•
Sep 3, 2017

So helpful !!!!!!

By Wen B

•
Mar 27, 2021

TOP!!! thank you

By Harpro R

•
Dec 29, 2020

Very nice course

By Cyril E

•
Nov 27, 2020

Very good course

By Steven J A B G

•
Nov 24, 2020

excellent course

By SRIKAKOLAPU N S S B

•
Oct 31, 2020

nice explination

By Mariam M A

•
Oct 10, 2020

excellent course

By Adith R K

•
Sep 26, 2020

excellent course

By krishnamohan

•
Sep 13, 2020

Excellent course

By yingyaozhou

•
Aug 6, 2020

Very meaningful!

By SOUMYAJIT D

•
Jul 24, 2020

awesome learning

By Harsh P

•
Jul 23, 2020

Worth everything

By Prof P

•
Jul 13, 2020

Great teacher!!!

By Farhan F A

•
Jun 26, 2020

Thank you Andrew

By Mohammad N H

•
Jun 23, 2020

Excellent Course

By Ravi K C

•
Jun 17, 2020

Excellent course

By Alejandro B E

•
Jun 13, 2020

Excelent content

By Gadiraju S V

•
Jun 5, 2020

best course ever

By Peter

•
Jun 1, 2020

very good course

By Francis J

•
May 29, 2020

keep on learning

By Raj P

•
May 27, 2020

Very good course

By HABI M

•
May 15, 2020

excellent course

By Mubashar I

•
May 7, 2020

great experience

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