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

AM

Oct 9, 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

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:

4851 - 4875 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Michael O

•

Nov 10, 2017

Excellent course!

By Alexandre E

•

Nov 10, 2017

fantastic insight

By 林杰

•

Nov 5, 2017

难易适中，适合学习，感谢吴恩达老师

By pratik p

•

Oct 29, 2017

Excellent course!

By 刘斌

•

Oct 12, 2017

Marvelous Course!

By Jinxi W

•

Sep 28, 2017

Very good course!

By Hao Z

•

Sep 12, 2017

Excellent course!

By Mouhammad S

•

Sep 4, 2017

Excellent course!

By Eric

•

Sep 4, 2017

So helpful !!!!!!

By Akarapon L

•

Apr 14, 2024

Excellent course

By Ashar J

•

Jul 20, 2023

Excellent Course

By Siddharth C c

•

Dec 19, 2022

nice. Keep it Up

By Yilber R

•

Feb 4, 2022

Excelente curso.

By HECTOR F R E

•

Dec 25, 2021

Excellent course

By Clannon N

•

Oct 6, 2021

very good course

By Ansel J

•

Sep 25, 2021

Excellent Course

By Prateek S

•

Sep 23, 2021

Very informative

By Mohammad R B

•

Jul 31, 2021

Great Course !!!

By Deleted A

•

Mar 27, 2021

TOP!!! thank you

By Harpro R

•

Dec 30, 2020

Very nice course

By Cyril E

•

Nov 28, 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