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:

4901 - 4925 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Deep G

•

Feb 13, 2020

Amazing content!

By Shilong L

•

Jan 6, 2020

best course ever

By Ankur S

•

Dec 30, 2019

Wonderful Course

By keerthi k

•

Dec 16, 2019

excellent course

By Jing-Lun H

•

Dec 14, 2019

Thank you a lot!

By Arumugam M

•

Nov 24, 2019

Excellent Course

By Abhishek S

•

Nov 5, 2019

Was very helpful

By Sharath K S

•

Oct 30, 2019

Very good course

By YOGESH S

•

Sep 23, 2019

Great Course!!!!

By Tales M

•

Sep 21, 2019

very good course

By Udith D B H

•

Sep 11, 2019

The best course.

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

•

Jun 24, 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 4, 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