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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

57,364 ratings
6,590 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.

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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4276 - 4300 of 6,514 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Raymond T Q T

Jan 31, 2019

very good lectures

By Deepa K

Jan 27, 2019

Highly recommended

By Chen N

Jan 17, 2019

Awesome as always.

By John l

Jan 16, 2019

good course indeed

By Frédéric M

Nov 13, 2018

Really good course

By twice154

Nov 7, 2018

very good lectures

By 伟 刘

Oct 12, 2018

Thanks for The Ng!

By 郑非

Oct 3, 2018

Very Nice Course !

By Rohit S

Jun 1, 2018

as always the best

By 徐海

Apr 26, 2018


By 김원웅

Apr 21, 2018

God of all courses

By 夜雨飘零

Apr 14, 2018


By Sanjay K

Jan 26, 2018

Its Andrew Ng. wow

By Dongxu Y

Jan 11, 2018

thank you so much.

By Kai Z

Dec 26, 2017

Good demonstration

By César J N R

Nov 17, 2017

Really nice course

By Joseph L

Nov 14, 2017

Very useful course

By adi c b

Nov 4, 2017

one word: Awesome!

By Shabbir T

Oct 9, 2017

Excellent Program!

By luolongzhi

Oct 5, 2017


By 杜永生

Aug 30, 2017


By bexvan

Aug 30, 2017

i like this course

By Cindy C

Aug 21, 2017

very useful course

By Iván V P

Aug 16, 2017

just incredible :D

By Hien P

Aug 13, 2017

Execellent course!