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

4.9
stars
63,068 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

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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5451 - 5475 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 尤玥

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Aug 4, 2019

very nice!

By IK O

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Jul 30, 2019

Excellent.

By Wenyu S

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Jul 29, 2019

Thank you!

By 龚子轩

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Jun 13, 2019

EXcellent!

By Dylan S

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Apr 19, 2019

Excellent!

By Марчевский В Д

•

Apr 19, 2019

Very well!

By Wenhui T

•

Apr 9, 2019

Very nice.

By 최진혁

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Mar 11, 2019

very good!

By Hyeon S J

•

Mar 5, 2019

Very Nice!

By 荣灿

•

Feb 27, 2019

excellent!

By Gregory R G J

•

Feb 9, 2019

Thumbs Up!

By Arun R

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Feb 6, 2019

Very good.

By Haris M

•

Jan 25, 2019

Pure Gold!

By Sameerkumar_Ramakameshwara v

•

Jan 15, 2019

Oustanding

By LeslieJ

•

Dec 10, 2018

thanks all

By Laurence C

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Nov 23, 2018

Excellent!

By Tejas S S

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Nov 7, 2018

Wonderful!

By mvpzhao

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Nov 6, 2018

very good.

By Pawel B

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Nov 1, 2018

thanksssss

By Kyle Z

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Oct 9, 2018

g

r

e

a

t

h

e

l

p

!

By Satyam S

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Sep 25, 2018

Excellent!

By Jonathan

•

Sep 16, 2018

很有用，讲解也很到位

By Matthew R B

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Sep 11, 2018

Excellent.

By wangshunji

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Sep 11, 2018

very good!

By Abdullah E D

•

Sep 8, 2018

thats good