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
63,477 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

MD

May 5, 2018

Would have liked to see the math and more complete explanations for all the things that Prof. Ng glosses over by saying "you don't really need to understand XYZ". Even if this material was optional.

Filter by:

5876 - 5900 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By manuel a m v

•

Jun 12, 2020

great

By supun d

•

Jun 11, 2020

Grate

By Suyash C

•

Jun 8, 2020

Woah.

By OMKAR S

•

Jun 1, 2020

Good.

By Sanskar j

•

May 30, 2020

Nice!

By Shiyang F

•

Mar 31, 2020

Great

By Yetao W

•

Mar 10, 2020

great

By zhanghx

•

Mar 7, 2020

Good!

By yuebin l

•

Mar 4, 2020

bravo

By Alexander A

•

Feb 20, 2020

Класс

By Saoudi H

•

Dec 29, 2019

great

By 芃維 陳

•

Oct 20, 2019

Nice!

By Mohamed B

•

Oct 1, 2019

great

By hitskyer

•

Sep 22, 2019

学到了很多

By GuyChriqui

•

Jun 12, 2019

great

By Chenqingming

•

Jun 7, 2019

great

By Wei L

•

Mar 31, 2019

Great

By Jan N

•

Mar 20, 2019

Great

By Xu Y

•

Mar 11, 2019

great

By Gzq

•

Mar 10, 2019

great

By Hernan R

•

Mar 6, 2019

Good!

By Yuhao L

•

Jan 12, 2019

good!

By hexinlin

•

Nov 29, 2018

great

By 钟胜杰

•

Nov 18, 2018

good!

By beihai Q

•

Nov 12, 2018

Good!