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
63,156 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

AS

Apr 18, 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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

Filter by:

5576 - 5600 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rafael

•

Mar 27, 2020

Muito bom

By Haziqa S

•

Mar 23, 2020

Wonderful

By Yibo W

•

Mar 22, 2020

very good

By qiaojiaxin

•

Mar 20, 2020

nice work

By logichen

•

Mar 3, 2020

Nice job!

By Ratan S M

•

Feb 9, 2020

excellent

By Chi X

•

Jan 21, 2020

Very good

By 毛昊

•

Jan 20, 2020

excellent

By ayanava d

•

Jan 16, 2020

very good

By Aditya A J

•

Jan 13, 2020

Thank you

By Ashish G

•

Jan 7, 2020

excellent

By Bình N N

•

Jan 5, 2020

very nice

By ShapeofMyHeart

•

Dec 26, 2019

So great！

By Adil D

•

Dec 6, 2019

Excellent

By Eduardo R S

•

Nov 30, 2019

Excellent

By Sachin S

•

Nov 15, 2019

Good work

By Arunish K

•

Nov 3, 2019

fantastic

By Naveen S

•

Oct 31, 2019

Excellent

By José T R R

•

Oct 7, 2019

Excelente

By Sebastian C

•

Aug 15, 2019

Excellent

By Chris S

•

Jul 30, 2019

Thank you

By Bilal A B

•

Jul 27, 2019

Best**inf

By pengguo

•

Jul 9, 2019

学到很对实践方面的

By Kartik G

•

Jul 7, 2019

Love it !

By Jairo A R R

•

Jul 2, 2019

Excelent!