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
63,260 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

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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.

Filter by:

5476 - 5500 of 7,262 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hyeon S J

•

Mar 5, 2019

Very Nice!

By 荣灿

•

Feb 27, 2019

excellent!

By Gregory R G J

•

Feb 9, 2019

Thumbs Up!

By Arun R

•

Feb 6, 2019

Very good.

By Haris M

•

Jan 25, 2019

Pure Gold!

By Sameerkumar_Ramakameshwara v

•

Jan 15, 2019

Oustanding

By LeslieJ

•

Dec 10, 2018

thanks all

By Laurence C

•

Nov 23, 2018

Excellent!

By Tejas S S

•

Nov 7, 2018

Wonderful!

By mvpzhao

•

Nov 6, 2018

very good.

By Pawel B

•

Nov 1, 2018

thanksssss

By Kyle Z

•

Oct 9, 2018

g

r

e

a

t

h

e

l

p

!

By Satyam S

•

Sep 25, 2018

Excellent!

By Jonathan

•

Sep 16, 2018

很有用，讲解也很到位

By Matthew R B

•

Sep 11, 2018

Excellent.

By wangshunji

•

Sep 11, 2018

very good!

By Abdullah E D

•

Sep 8, 2018

thats good

By 刘锡明

•

Sep 3, 2018

very good!

By Thomas G

•

Sep 2, 2018

Excellent!

By kevin E

•

Aug 26, 2018

Pure Gold.

By 胡炜瑜

•

Aug 25, 2018

I like it!

By David

•

Aug 15, 2018

Brilliant!

By 蔡昇材

•

Jul 24, 2018

excellence

By Mingyi Z

•

Jul 5, 2018

insightful

By Roushan K

•

Jun 11, 2018

Excellent!