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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

XG

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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.

AM

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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

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1076 - 1100 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By FABIÁN M V

Jul 8, 2020

My biggest problem was the Programming Assignment, I had many problems finishing, but without count it, the course was very good and I feel that learn so much.

By Kevin J

May 13, 2020

This was a very good course it seems that is designed to take care of the audience with math background as well as non-math background. Really a great course!!

By Aswin S T

May 29, 2019

Thanks for this excellent course. It helped me reinforce the understanding of Deep Neural Networks and pay attention to hyperparameter tuning and optimization.

By Bernard L

May 21, 2019

Enjoyed the course. Actually, I learned a lot on regularization and optimization and how it is applied. Of course, the introduction to Tensorflow is priceless.

By Christian B

Sep 6, 2018

Excellent course. There are a few errors in the final assignment, which have been called out in the chat box but not resolved yet. I think this should be done.

By Rama K P

Aug 17, 2018

Great course. To the point and lucid explanations. Would have liked a bit more elaboration on Tensorflow even though we can search the documentation ourselves.

By Philip D

Aug 19, 2021

The knowledge that I have accumulated within this short module is incredible. I will use every bit of it as I continue my carrier as a Mechanical Engineering.

By Soliman S

Aug 30, 2020

amazing description and clarification for each hyper parameter. the assignments are very helpful and give a good experiance and handy work in a real examples.

By Martín C

Jun 7, 2020

Uno de los mejores cursos sobre Ajustes de Hiperparámetros. Recomendado. ¡Lo disfruté!

One of the best courses on Hyperparameter Tuning. Recommended. Enjoy it!

By Sai U K A

Jun 6, 2020

What I love about Mr. Ngs's way of instructing is that he makes you understand topics quite complex such as Deep Learning so easy to understand and implement.

By BlueBird

Aug 18, 2019

Thanks! By learning this course, I have gained a lot of knowledge, about how to find the problem in the model and adjust the parameters of the neural network.

By Mohammad A A S

Aug 16, 2019

it was a very fruitful course but I think you should add notes at the end of each video to sum up the most important information covered in the video

thank you

By Nobhomela

Jun 26, 2019

Very challenging but well structured and important as it lets you understand all the nitty gritty aspects of deep learning and how your application functions.

By Aakash G

Jan 8, 2019

Started with some basic tensors... so that's good. However I like how Andrew explains the effect of each hyper-parameter on the models output. Happy learning!

By Bo S

Nov 27, 2017

Excellent course. This has made getting started with Movidius make much more sense to me. The videos are excellent and the homework assignments help greatly.

By Matt C

Nov 9, 2017

Every course Andrew teaches is an absolute joy. His method of presentation is very straightforward and intuitive. This series follows that paradigm perfectly.

By Dheepak J

Aug 11, 2020

Very soft introduction to tensor flow. The guided assignments are really great to get hands on into the concepts of hyper parameter tuning and regularization

By Muhammad A

May 1, 2020

Thank You so much dear respected Sir Andrew Ng and Coursera for providing me the financial aid and such wonderful learning stuff. May ALLAH reward you a lot.

By Roman G

Apr 17, 2020

I think the tensor flow part could have gone smoother. I don't feel like I can apply tensor flow from scratch even though I passed the course with top marks.

By vishak b

Nov 12, 2019

An incredibly indepth hands on experience of deep learning. You get to REALLY know what's happening behind the scenes.

An extraordinary course. Very grateful!

By Dimitry I

Jun 23, 2019

Great follow-up course in the Deep Learning specialization. Teaches you important aspects of machine learning. Thank you to Prof Ng and the rest of the team!

By Philippe K

May 25, 2019

Yet difficult theoretical part, but a very helpful course that helps to understand what is going on in the DeepLearning black box. I definitely recommend it!

By Ahmet K

Feb 24, 2018

I gained great perspective on several optimization methods on neural networks. After first course, I have deepen my knowledge on optimization. Great content!

By Fabian A R G

Oct 21, 2017

Excellent course, pretty useful learn about hyper parameter tuning... and the INTUITION ( :D ) can be applied into other ML algorithms :) . Love this course.

By Wang Y

Aug 22, 2017

The courses are quite good! I can get all the details and practical implementation about Deep Learning with wonderful descriptions! Good team! Good Andrew