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

4.9
stars
62,852 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

NA

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.

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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5376 - 5400 of 7,218 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By vikrant s

•

Feb 14, 2018

awesome!!!!

By Nickie X

•

Jan 25, 2018

simply best

By Weizhi

•

Jan 17, 2018

Very useful

By Ali A

•

Dec 6, 2017

Best course

By Selwin K

•

Dec 6, 2017

Outstanding

By Yehang H

•

Nov 22, 2017

Nice course

By GuangjianHou

•

Nov 17, 2017

通俗易懂，很好的课程。

By Arnaud S

•

Nov 16, 2017

Excellent !

By Seyhan E G

•

Nov 16, 2017

Thank you:)

By xuhp

•

Oct 30, 2017

it's great,

By 王展雄

•

Oct 25, 2017

Nice course

By Jingyi L

•

Oct 23, 2017

Like it. :)

By LiuGuotai

•

Oct 3, 2017

good lesson

By Sandeep M

•

Oct 1, 2017

Nice course

By 李少芃

•

Sep 30, 2017

Excellent !

By 张琪

•

Sep 14, 2017

老师讲的很细，受益很多

By Hamza A

•

Aug 21, 2017

Excellent !

By yining

•

Aug 19, 2017

outstanding

By 吴凡

•

Aug 16, 2017

very good!!

By 1437_ANKIT T

•

Sep 13, 2023

Excellent!

By BISHWANATH J

•

Sep 5, 2023

Over Power

By Xiaolin W

•

Mar 23, 2023

Thank you!

By 赵毅

•

Dec 3, 2022

Thank you!

By Akomévègni S

•

Aug 2, 2022

Excellent

By 최정식

•

May 15, 2022

Thank you.