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

4.9
stars
63,231 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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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.

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5626 - 5650 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By SHASHANK P

•

Sep 23, 2018

EXCELLENT

By ignacio v

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Sep 14, 2018

Ng rocks!

By Ethan

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Sep 1, 2018

Great sir

By Al T

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Aug 30, 2018

Excellent

By Zheng Z

•

Aug 25, 2018

Very good

By Thomas A

•

Aug 17, 2018

excellent

By nish2288

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Jul 20, 2018

Awesome !

By Fran T

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Jul 9, 2018

Loved it!

By Rajdeep

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Jun 17, 2018

Thank you

By Mohammad H

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Jun 12, 2018

Practical

By Trevor J

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Jun 2, 2018

Excellent

By 刘诗晗

•

May 23, 2018

very good

By Shujjat A

•

May 8, 2018

Fantastic

By 尹子龙

•

May 1, 2018

i like it

By Mohamed H Y

•

Apr 28, 2018

very good

By Amarpreet S

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Apr 1, 2018

Excellent

By Sim K

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Mar 31, 2018

G

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a

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By Sahil S

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Mar 23, 2018

Excellent

By German N

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Mar 13, 2018

Excellent

By kms g

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Mar 4, 2018

awesome!!

By Yash R S

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Feb 25, 2018

Excellent

By Eugene W

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Feb 23, 2018

Excellent

By jinil c

•

Jan 27, 2018

Excellent

By Taekyung H

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Jan 21, 2018

Thank you

By saukhin s

•

Jan 19, 2018

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