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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

AA

Invalid date

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

AM

Invalid date

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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3901 - 3925 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yan L

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Oct 24, 2017

Very helpful for adjusting my network.

By Spandan M

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Sep 28, 2017

Great!! course . I highly recommend it

By Divakant P

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Sep 24, 2017

Great Course, Respect for Andrew Sir !

By John E B

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Sep 23, 2017

This was… fun, and really interesting!

By Debesh S

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Sep 14, 2017

Super. I am happy to take this course.

By Abbas H

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Jul 18, 2022

Greate Course. It's worth your time.

By Rasheed M N M

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May 29, 2022

it is great and needs a determination

By CS8B39 S P

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Apr 11, 2022

Explained everything quite intuitivly

By Abhishek K

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Jan 19, 2021

Awesome Course... Best on the planet.

By Chang X

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Oct 25, 2020

enjoyed the course. highly recommend.

By DIPTESH B

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Sep 5, 2020

It was an amazing course, Thank You!!

By Md A A A

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Aug 24, 2020

Very helpful and well designed course

By George S

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May 23, 2020

Really well taught and easy to follow

By Ryan B

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May 8, 2020

Course was awesome! All hail MOOCS's!

By Eli B

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Feb 7, 2020

This is a phenomenal course. 5 stars.

By arnab s

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Nov 30, 2019

Very well explained concept as usual.

By Sandip S

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Nov 11, 2019

Excellent course content and lectures

By Ravi R

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Oct 14, 2019

Thoughtful and in detail explanation.

By Kanghoon Y

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Sep 2, 2019

Satisfied specially tensorflow guide.

By Fangda X

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Aug 20, 2019

not bad; seems well prepared lectures

By 허재원

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Aug 1, 2019

It was a perfect course!! Thank you!!

By Mostafa G

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Jul 15, 2019

Great lecture on deep neural networks

By Saurav M

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Apr 22, 2019

Assignments were amazing liked them!!

By Rohan K

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Feb 24, 2019

Phenomenal course on in deep learning

By nadaradjane

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Feb 4, 2019

Excellent. Need your slides, Mr Ng!!!