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

57,969 ratings
6,671 reviews

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

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.

Oct 8, 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

Filter by:

4151 - 4175 of 6,593 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Mamedov M

Oct 15, 2019

Thanks! All is perfect

By Richik G

Sep 17, 2019

full course is amazing

By Tristan S

Aug 10, 2019

very insightful course

By Gustavo A O M

Jul 24, 2019

Incredibly satisfying!

By Haoran L

Jul 11, 2019

Learned a lot. Thanks!

By Fabian M R M

Jun 16, 2019

really complete course

By Evrim K Ö

May 24, 2019

It was a great course!

By 장수영

May 12, 2019

Thanks to teaching me!

By Takato K

Apr 10, 2019

Greate Course!! thx :)

By Saber E h

Apr 1, 2019

Thanks, Great course !

By Yue E

Feb 23, 2019

Gracias, gran curso :)

By Oukaci

Jan 23, 2019

Very very excellent !!

By Maxim D

Nov 25, 2018

Wery usefull and clear

By 毛怡帆

Oct 2, 2018

I love teacher Andrew!

By Yoel W K

Sep 8, 2018

Great! Really liked it

By Guillaume O

Aug 23, 2018

Very good introduction

By Md H

Aug 7, 2018

This is awesome course

By Vincent L

Jul 8, 2018

Andrew Ng is the best!

By im73

Mar 8, 2018

I'v learned a lot,Thx.

By Jan V d P

Jan 5, 2018

Feels like progress :)

By Cristian B

Dec 23, 2017

excellent - tensorflow

By Jin M

Nov 5, 2017

Super Clear and Useful

By Sameer C

Oct 7, 2017

Amazing. Just amazing!

By Lingjian K

Sep 24, 2017

Andrew Ng is the best!

By Marat B

Sep 22, 2017

comprehensive material