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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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1551 - 1575 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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.

By Sourav

Jan 5, 2019

Learnt a great deal about tuning models. Concepts of regularization, batch norm and optimizers were very well explained.

By Subham K

Jan 5, 2019

It was so awesome .I got to know the minute details which would certainly help me in making a better deep learning model.

By Dongxiao H

Dec 5, 2017

This coursera really tells me a lot about how to tune parameters, and very useful skills to optimize the NN. Very thanks!