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

4.9
stars
63,245 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

AM

Oct 8, 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

XG

Oct 30, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

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3901 - 3925 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By narendra s

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May 18, 2018

Great course for hyperparameter tuning

By Prakalp S

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Mar 26, 2018

Very happy with Tensorflow assignment

By Keshav M

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Mar 2, 2018

Andrew ng is the best professor online

By Chiang Y

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Jan 14, 2018

Many practicle issues are very useful!

By Sumandeep B

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Jan 2, 2018

lots of nice usefull insights to learn

By Zhejian P

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Dec 27, 2017

Very Useful Content. Just right for me

By William v

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Dec 3, 2017

I am enjoying the series tremendously.

By Bernard D

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Nov 6, 2017

another great training from Andrew Ng!

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