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

4.9
stars
63,175 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

AM

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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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4576 - 4600 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By naveen m

•

Sep 4, 2017

thank you Prof Andrew,

By Vijayabhaskar J

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Aug 21, 2017

Great Course as usual.

By Xếp T T

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Aug 1, 2023

Thank for your course

By Jay M

•

Oct 18, 2021

It was good but short

By Francois L

•

Nov 4, 2020

Excellent, as always.

By Jayant B

•

Sep 28, 2020

It was a nice course!

By madhu g

•

Sep 7, 2020

very nice explanation

By SAI V C

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Jul 4, 2020

VERY VERY GOOD COURSE

By Hritik Z

•

Jun 20, 2020

it's simply amazing !

By RUSHIKESH P R B

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Jun 11, 2020

Great way of teaching

By BAIDA O

•

Jun 2, 2020

Andrew NG the best!!!

By SHEETAL S

•

May 28, 2020

anaother great course

By Prithvi A K

•

May 13, 2020

Great second course!!

By Waqar A

•

May 7, 2020

Great course contents

By Amr B

•

Apr 18, 2020

great course as usual

By Mehedi S

•

Mar 31, 2020

Beautifully organized

By PURUSHOTHAMAN S

•

Mar 30, 2020

Wonderful course!!!!!

By Snow H

•

Mar 23, 2020

Really helpful for me

By Prashant A

•

Feb 15, 2020

Very good instruction

By Rakesh D

•

Jan 15, 2020

Excellent as always..

By Hamza K J

•

Dec 23, 2019

Excellent experience.

By 朱泓润

•

Dec 3, 2019

Very good and useful!

By Sagar P

•

Oct 25, 2019

It was good learning.

By Siniša B

•

Aug 20, 2019

Thank you, Andrew Ng!

By Mohammed Y M

•

Aug 17, 2019

As always... too good