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
63,175 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

Filter by:

3401 - 3425 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Enuganti P K

•

Dec 9, 2020

Great course with intuitive and timely explanations

By Isuru A

•

Nov 8, 2020

Best ever course in the world to learn deeplearning

By Md. A A M

•

Sep 19, 2020

As expected from Mr. Andrew Ng. Highly recommended.

By Satabdi G

•

Aug 16, 2020

It's an awesome course. I enjoyed very minute of it

By Thangamari

•

Aug 4, 2020

Its very very nice course..creative thinking course

By MH R

•

Jul 26, 2020

This course is amazing and Andrew Ng is the best...

By ritwik b

•

Jul 13, 2020

Challenging , yet super rewarding. Really Loved it,

By Thejus H R

•

May 18, 2020

Really, really useful. Incredibly well done course!

By K A N R

•

May 10, 2020

Very Good course and it useful for all the learners

By Mohamed B

•

Apr 29, 2020

Thank you for your course and your pedagogic skills

By Dr. F R M

•

Apr 15, 2020

Fantastic !

Gaining confidence course after course.

By Jeffrey B

•

Mar 27, 2020

Another great course! Can't wait for the next one!

By Rehan S

•

Dec 28, 2019

Very informative and well organized for all levels.

By Ventseslav V

•

Dec 21, 2019

Great content, programming exercise with Tensorflow

By Jonathan F

•

Aug 7, 2019

This course is really well done. Great first steps.

By saad a

•

Jul 22, 2019

perfect course, very clear. Thank you Dr. Andrew Ng

By Bill F

•

Jul 16, 2019

Lots of techniques and methods for optimizing a NN.

By Deleted A

•

Feb 21, 2019

wanna know what going under hood , explore this one

By Nitin s

•

Jan 22, 2019

Fun, Enlightening and above all easy to understand.

By Priyanka D G

•

Nov 25, 2018

It is already good, But places need to correct typo

By hong c

•

Aug 9, 2018

thank for teachers provider this course,very useful

By 顏佑軒

•

Jun 24, 2018

This is really really a good course to deeplearning

By Jack

•

Jun 12, 2018

Fantastic presentation with details well explained!

By Juan V

•

Jun 10, 2018

Great course! Really well explained, step-by-step!!

By Arnab S

•

Mar 5, 2018

Amazing course. Got to learn about hyperparameters.