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

4.9
stars
62,915 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

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.

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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3326 - 3350 of 7,222 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By David P

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Oct 31, 2018

Gained a good understanding about the regularization.

By Fernando E L M

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Oct 17, 2018

Excellent training, easy to follow material and labs.

By Muhammad R M

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Oct 9, 2018

This course is a little tough but Its really worth it

By Guoran H

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Aug 24, 2018

Excellent explanations by Dr. Ng, easy to understand.

By Wang J

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Jun 23, 2018

Andrew Ng is one of the best teacher I have ever met.

By Yu Q

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Apr 20, 2018

A little hard to learn but very practical and useful!

By Jagadish K J

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Apr 17, 2018

Very Important course to learn Hyper parameter tuning

By Yash N

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Mar 9, 2018

The best resource on Neural Networks on the internet!

By Wynand

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Feb 21, 2018

Andrew is great at breaking AI down into simple steps

By LakshmiNarayana B

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Feb 7, 2018

Very helpful in understanding ways to optimize models

By Matt S

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Dec 27, 2017

It's great for the practice of projects in real work!

By Shubhadeep R

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Nov 30, 2017

Learned a lot from this course. Thank you Andrew Sir.

By 郭建隆

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Nov 27, 2017

Andrew is a really great teacher that I've ever seen!

By Pankaj D

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Nov 27, 2017

As always a wonderful course from an amazing teacher!

By Gregorio A A P

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Oct 17, 2017

EXCELLENT COURSE, BUT LACK OF TRANSLATION IN SPANISH.

By pablo s

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Sep 22, 2017

Very thorough and detailed explanations, very useful.

By PeiSheng S

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Sep 13, 2017

Very helpful, it really taught me many useful skills.

By Mar G

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Nov 23, 2023

Amazing, I am learning a lot and having so much fun!

By JAGDISH R

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Jan 21, 2022

For a student this course is certainly a blessing :)

By Sina B

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Sep 11, 2021

I mean it's Andrew Ng! That's all you need to know!

By Bharath D

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Jul 21, 2021

Very Nice Course for learning basic of Deep Learning

By Charles X

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Jun 12, 2021

Very good course, contents useful in real practices.

By Kunwar P

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Feb 6, 2021

Thanks to Dr. Andrew Ng and the whole Coursera team.

By Diego G A

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Sep 11, 2020

Excelente curso!

Lo recomiendo con los ojos cerrados.

By Luis E O P

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Jul 5, 2020

Excelente curso, excelente profesor, muchas gracias.