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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,375 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

DD

Mar 29, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

AM

Oct 9, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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3701 - 3725 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rima

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Jun 13, 2020

Many important issues are discussed. Thanks

By Troy N

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Jun 5, 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 17, 2020

A very useful collection of tips and hints.

By Suresh K M

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Mar 4, 2020

Thank you for sharing such a deep knowledge

By Abdul M

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Feb 1, 2020

math part was quite difficult to understand

By Jaime G C

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Dec 5, 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 24, 2019

Amazing as always. Andrew you are the best!

By Raj S

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Mar 29, 2019

I cant stop myself to watch the next course

By Thor T

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Feb 5, 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 26, 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 15, 2018

Excellent course! Interesting and engaging!

By Ming Y

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Jul 13, 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.

By Pankaj Y

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Feb 2, 2018

Good explanatory course for neural networks

By Boris V

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Jan 19, 2018

Nice Course, thanks to all who contributed!

By Akshai S

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Jan 10, 2018

It taught me a lot of intricate concepts :)