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
63,169 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

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.

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:

7026 - 7050 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Bruno G C

•

Oct 16, 2018

Really good.

By alex g

•

May 13, 2018

great course

By HUSSEIN A M

•

Jul 24, 2021

Nice Course

By yashas c

•

May 18, 2021

It was nice

By Lili W

•

Aug 16, 2018

Good course

By Raghavendra R

•

Feb 5, 2018

Nice Course

By JaesungHuh

•

Aug 20, 2017

Good course

By Mirta M R H

•

Jul 20, 2020

Muy bueno!

By Yashika S

•

Sep 10, 2019

tough one

By Mor K

•

Aug 30, 2019

excellent

By Luis E O

•

May 17, 2019

Excelente

By IURII B

•

Apr 3, 2018

Thank you

By MD. E k

•

Apr 30, 2020

was good

By Suman D

•

Jul 27, 2018

Awesome.

By Davit K

•

Jul 13, 2018

easy bb

By 刘倬瑞

•

Nov 2, 2017

helpful

By Suraj P

•

Jul 17, 2020

Great!

By SUMIT Y

•

Jul 4, 2020

NICE!!

By qiaohong

•

Oct 27, 2019

作业过于简单

By Sonia D

•

Jan 30, 2019

Useful

By DEEPOO M

•

Jul 18, 2020

great

By Johannes C

•

Aug 29, 2017

Good!

By Pallavi N

•

Jun 26, 2022

Nice

By Aditya S

•

Aug 9, 2019

good

By Łukasz Z

•

May 2, 2019

bugs