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

4.9
stars
63,325 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

DD

Mar 28, 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.

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3351 - 3375 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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 10, 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.

By Koushik G

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Jun 29, 2020

Very Structured way of deciphering complex concepts.

By DJ

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May 17, 2020

I learned a great deal of material including theory.

By Nachiketa D

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May 13, 2020

great but you can explain tensorflow in more detail.

By Ignacio A

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May 10, 2020

Es un curso espectacular, super claro y recomendable

By Esther S

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May 7, 2020

I miss the small questions at the end of the videos.

By Anugrah S

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Apr 3, 2020

Videos and Practical Assignments both are impressive