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

4.9
stars
63,477 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

MD

May 5, 2018

Would have liked to see the math and more complete explanations for all the things that Prof. Ng glosses over by saying "you don't really need to understand XYZ". Even if this material was optional.

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4701 - 4725 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Samart M

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Aug 10, 2019

Excellent as always

By 邓云甫

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May 22, 2019

It feels guuuuuuuud

By Dhananjaya N (

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May 2, 2019

Enjoyed this course

By CBG之徒

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Feb 4, 2019

Andrew is the best.

By Chandrakant P

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Feb 2, 2019

Thank you Andrew Ng

By SACHIN S

•

Jan 2, 2019

Valuable content :)

By Hamid S

•

Oct 9, 2018

Very nice intutions

By Keiarra O

•

Sep 26, 2018

Very easy to follow

By Itrat R

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May 27, 2018

Excellent Course!!!

By Dewei X

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Mar 5, 2018

I love this course!

By sornpon w

•

Jan 15, 2018

Great job as always

By Nguyen A M M

•

Dec 29, 2017

un cours magnifique

By Steven G

•

Nov 25, 2017

Great course again!

By Sourish D

•

Nov 23, 2017

Excellent Course...

By Kurisu L

•

Oct 25, 2017

非常棒的课程，吴老师深入浅出，让我们d

By Andre W

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Oct 4, 2017

I love this course!

By cece h

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Oct 2, 2017

I LOVE THIS COURSE.

By 杨帅

•

Oct 1, 2017

难度和时间都适合已经工作的人自学，点赞

By Sundeep L

•

Aug 23, 2017

Another nice course

By Yang C

•

Aug 19, 2017

Thank you, helpful.

By Rohan J

•

Nov 13, 2023

Really Good course

By Mahdi S

•

Mar 13, 2023

its a great course

By Marcos D C C

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Oct 31, 2022

Very good course.

By mohammad k

•

Aug 17, 2021

That Was Fabulous.

By Kyriakidis A

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Apr 2, 2021

Excellent course!!