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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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3701 - 3725 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Suraj P

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Feb 9, 2021

Most important and unique course of series.

By Kostadin G

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Jan 5, 2021

Fantastic way to learn/improve your skills.

By EL H E S

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Jun 16, 2020

thank you very much for this amazing course

By Rima

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Jun 12, 2020

Many important issues are discussed. Thanks

By Troy N

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Jun 4, 2020

This is the special sauce to deep learning.

By Sadek N

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May 24, 2020

Very helpful course.

Thank you Mr. Andrew Ng

By Avinash S

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Apr 28, 2020

Its a must attend course, in deep learning

By Georgiy K

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Apr 26, 2020

Надзвичайно приємний курс. Усім рекомендую!

By Jesus G

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Apr 16, 2020

A very useful collection of tips and hints.

By Suresh K M

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Mar 3, 2020

Thank you for sharing such a deep knowledge

By Abdul M

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Jan 31, 2020

math part was quite difficult to understand

By Jaime G C

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Dec 4, 2019

i like it, specially the part of tensorflow

By Chi Z

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Jul 27, 2019

Good introductory material. Easy to digest.

By Bartosz G

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Jul 23, 2019

Amazing as always. Andrew you are the best!

By Raj S

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Mar 28, 2019

I cant stop myself to watch the next course

By Thor T

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Feb 4, 2019

Many nice hints about hyperparameter tuning

By Naveen D

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Dec 30, 2018

Andrew Ng is the God Father of AI Teaching.

By Peter S

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Nov 25, 2018

Andrew Ng is a seriously talented educator.

By Rajan K

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Oct 30, 2018

Great guidance from Andrew!! Thanks a lot!!

By 齐德鑫

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Oct 15, 2018

my first output using tensorflow!amazing!!!

By Karine I

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Aug 14, 2018

Excellent course! Interesting and engaging!

By Ming Y

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Jul 12, 2018

It has copious details that helps me a lot.

By Gordon L

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Jun 10, 2018

Good course!Especially the tenserflow part!

By Yuxing T

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Apr 16, 2018

Great for practice in modern deep learning.

By DeukYong Y

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Apr 1, 2018

중요한 Hyper parameter에 대한 배경과 이론을 이해할 수 있습니다.