Chevron Left
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
63,156 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.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

Filter by:

2051 - 2075 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Affan Z

•

Apr 13, 2018

Thank You Coursera for providing this course, to let spread knowledge and help learners like me.

By Gagan A

•

Mar 20, 2018

This course was really good. This course contains a lot of information and will help me greatly.

By sai k

•

Feb 22, 2018

A very good deep learning course that will be helpful in achieving goals of an individual in AI.

By j.guadalupe o

•

Feb 7, 2018

It is a very good course about tuning the hyperparameters and a good introduction to TensorFlow.

By Erik N

•

Jan 8, 2018

Great course. Please add more development exercises, where you have to write more code yourself.

By Shanshan W

•

Jan 7, 2018

Amazing class, covered many topics of deep neural network. Well-organized and clearly-presented.

By Mohamed A

•

Dec 7, 2017

Really powerfull tools this begin to seems more and more advanced , thanks for your time Andrew.

By Van V N

•

Nov 27, 2017

Very well structured course with interesting quizzes and programming exercises. Amazing teacher.

By liangyi

•

Nov 22, 2017

it's better to add some optional courses on the mathematical derivation of some algorithms !!!!!

By Jesse S

•

Oct 26, 2017

Another winner. Starts off building everything in Numpy then introduces higher-level Tensorflow.

By Tanja I

•

Sep 28, 2017

The continuation of the course 1, many things have become clear to me! Another excellent course!

By HanSeYeong

•

Sep 22, 2017

This was very practical for my project! I'm so glad to be able to identify what I should change.

By Poomipat

•

Sep 12, 2017

I love the interview section. This section gives me broader intuition and field in NN framework.

By Bharath P

•

Aug 24, 2017

You could have focussed more on Tensor Flow.

Concepts are explained very well.

I loved this curse.

By Lukas B

•

Aug 10, 2022

Fantastic course. Concrete explanations and a both clear and useful introduction to tensorflow.

By Jovania D

•

Dec 13, 2021

Excelente curso! Muito aprendizado sobre os hiperparâmetros: quais são, quando usar, como usar.

By Lu X

•

Aug 15, 2021

Thank you Prof. Andrew Ng! I felt pretty enjoyable during the process of learning this course!

By Javier E

•

Apr 25, 2020

i relly love this courses, this are so well designed for learning. just like in a university!!!

By Aman D

•

Apr 21, 2020

This was such an awesome course. I did have learnt lot about deep learning through this course.

By Karthikeyan T P

•

Dec 2, 2019

Excellent course on hyperparameter tuning, regularization and optimization. Highly recommended.

By Sergii G

•

Nov 19, 2019

Fast and clear course. Has a lot of small exercises that are very handy for your own algorithms

By Abdelrahman A

•

Jul 20, 2019

Thanks a lot Professor Andrew you're such a great man. The course/specialization is terrific <3

By Akshaya P K

•

Apr 22, 2019

Fantastic course. Sply the codes and the way they have been thoughtfully structured. Brilliant!

By Pradeep I

•

Mar 4, 2019

What learned during the course was building the self confidence in the subject area really lot.

By Muhammad A

•

Jan 13, 2019

Well balanced syllabus. covering the intuitive part as well as the procedure of implementation.