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:

3876 - 3900 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By mike l

•

Jan 2, 2022

I really learnd a lot from the course.

By Parma R R

•

Dec 8, 2021

Very good course. Thank you Mr. Andrew

By wayne t

•

Aug 3, 2021

very good course for beginner to study

By SYEDUMAIR H

•

Apr 3, 2021

Great Course! JazakAllah From Pakistan

By Md G R T

•

Jan 16, 2021

Another excellent course by Andrew Ng!

By Mohsen S

•

Nov 15, 2020

I enjoy every second of this course!!!

By Miguel C N

•

Oct 18, 2020

Great course, by an amazing professor!

By Valerii P

•

Sep 15, 2020

Good, helpful, well designed.

Thank you

By Shankar P

•

Aug 20, 2020

Excellent clarity and great intutions.

By Carlos L

•

Aug 7, 2020

I loved it! Thank you for offering it!

By Manmohan K

•

Jun 3, 2020

It's great but uses tensorflow 1 not 2

By Oreste M

•

Jun 2, 2020

Once again I could not stop learning !

By Julien L

•

Apr 23, 2020

Great content and very well explained.

By Karyl O

•

Feb 8, 2020

Very in-depth explanations! Thank you!

By Praveen P

•

Jan 10, 2020

Easy to follow and very informational.

By Krishanu B

•

Oct 27, 2019

Beautiful course. Very much Satisfied.

By Gilvandro F d M N

•

Jan 28, 2019

great journey into deep learning world

By Chenna G

•

Nov 20, 2018

Excellent Course.. Andrew Ng is great.

By Madhukar R

•

Oct 9, 2018

Loved the introduction of tensor-flow.

By S V R

•

Sep 30, 2018

excellent set of videos and assignment

By narendra s

•

May 18, 2018

Great course for hyperparameter tuning

By Prakalp S

•

Mar 26, 2018

Very happy with Tensorflow assignment

By Keshav M

•

Mar 2, 2018

Andrew ng is the best professor online

By Chiang Y

•

Jan 14, 2018

Many practicle issues are very useful!

By Sumandeep B

•

Jan 2, 2018

lots of nice usefull insights to learn