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

4.9
stars
63,175 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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1551 - 1575 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jacob T

Nov 29, 2017

An extremely valuable course to take learners from blindly creating neural networks to efficiently creating neural networks

By Jian Z

Oct 9, 2017

Very great. But the programming part of lesson 3 has nothing related to the first part of Week3, only the tensorflow's part

By Hsin-Fang H

Aug 23, 2017

The lectures are very clear and nice. The quiz and assignments are also very well designed to guid you through all details.

By Nishant G

Sep 11, 2020

the course was giving miniature details about how to tune your NN to improve its efficiency. Too many things and was good.

By Diego A C R

Aug 24, 2020

Muy bueno, solo falta que un humano arregle los subtitulos en español. Pero de cualquier forma gran curso, muy recomendado

By ANIKET A G

Jul 17, 2020

The course is very informative and a clear mathematical understanding of neural network optimization concepts is provided.

By swaraj p

Jul 14, 2020

really cool course, i think after doing this i can read up more on the concepts and will be able to understand them easily

By Vico L Z Y

Jul 22, 2019

Great aside from the Tensor Flow section which is a bit rushed but there is a specialization on TensorFlow so all is good!

By Ozioma N

May 22, 2019

This is more than a course, its a companion, Andrew Ng is unarguably one of the best knowledge distributor in the world!!!

By Younes Z

Apr 8, 2019

though i was experienced in Deep learning, I learned a lot of new things and specially intuitions to tune a neural network

By Asaduddin A Z

Apr 4, 2019

I think this section is a great tips and trick that related to deep learning. How to make your model awesome. and awesome.

By Prasanna K

Nov 25, 2017

Awesome course. Videos, Notes and Assignments really solves the purpose. Looking forward to do more courses from the team.

By David P

Sep 23, 2017

Really nice to see tips and tricks of tuning deep neural networks covered at this level of depth. Really useful material!

By Abie B

Sep 8, 2017

Lots of little tricks that you will think of afterwards as things that you would have thought of yourself, but never do...

By Tran Q L

Aug 25, 2021

This course enabled be to a new area of neural network in an approachable manner. I really like Andrew Ng's instructions.

By Muhammad I

Apr 20, 2021

Andrew Ng surely my favorite person when it comes to learn about ML because his explanation is detailed and soft approach

By Akhilesh G

Mar 3, 2021

Great course which clears out several concepts regarding the internal working of deep learning and hyperparameter tuning.

By Victor D

Sep 11, 2020

This was a very enlightening course. I learned a lot and the content is quite more complex than expected. Just excellent.

By Samuel A

Jul 10, 2020

Great about Hyperparameter tuning. It's a pity about tf is version 1 instead of 2 but nonetheless very helpful and clear.

By Bhushan T

Jun 5, 2020

Excellent introduction and basics of tuning NNs. Very practical approach. Notebooks are also useful to be used in future.

By 薛正坤

Feb 6, 2020

Thank you very much for professor Andrew Ng's explanation, which has benefited me a lot in improving deep neural network.

By Ashwini J

Dec 23, 2019

Another great course following the first course on Neural Network, thank you Andrew Ng and team for putting this together

By Tej N Y

Nov 28, 2019

Andrew Ng is amazing, the way he describe things are awesome. It open many new things to learn and expand ones knowledge.

By Shekhar J

Jul 26, 2019

This course is very good for basics and to start learning frameworks such as Tensorflow. I enjoyed learning this course .

By Dunitt M

Jan 10, 2019

Excelente curso, aunque me quedé con las ganas de implementar la normalización de lote en Numpy antes de usar TensorFlow.