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:

3476 - 3500 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Clément N

•

Jul 15, 2023

Excellent course! Prof Ng, is such a good teacher

By Włodzimierz J

•

Jun 8, 2021

Good course. Nice mix of knowledge and exercises.

By 胡泽天

•

Nov 23, 2020

So glad I can learn so many frameworks operations

By Fuad A

•

Oct 10, 2020

It's a pretty interesting and well taught course.

By VADDANAM G

•

Sep 12, 2020

Very well - taught by Andrew, thank you coursera.

By Derek L

•

May 6, 2020

Great course to learn optimization of ML models!!

By 翁浩瀚

•

May 4, 2020

it is very nice for the beginners in deep learnig

By Navdeep S H

•

Apr 29, 2020

This Course is very helpful in improving my model

By Reem

•

Apr 24, 2020

Valuable tips and insights throughout the course.

By kArThIk T

•

Apr 10, 2020

I Need to revisit to get some solid understanding

By MIGUEL A Z G

•

Jan 21, 2020

Great course! I'm very happy with the methodology

By Abhinav M

•

Sep 9, 2019

I was a very good experience learning this course

By Viona Q

•

Aug 20, 2019

Great course. Machine learning concepts made easy

By Jay T

•

Jul 21, 2019

Excellent Course to strengthen your core concepts

By Jamil H

•

Jul 11, 2019

A very good course with implementation techniques

By Hao L

•

Jun 8, 2019

Really helpful! Keep on with the next course now!

By Terry P

•

Jan 25, 2019

Very good course and well timed with great ideas.

By Prishita R

•

Dec 29, 2018

Great in depth Explanations and very Informative!

By Ihor K

•

Oct 27, 2018

Thank you for opportunity to become closer to AI!

By chirspolo

•

Sep 1, 2018

非常感谢cousera这个平台，提供详细的课程同时又能够让我在编程测试题中更好地掌握知识，非常感谢

By Jair G

•

Aug 15, 2018

Top level material. Very useful to run a project.

By Ananta A

•

Aug 13, 2018

Thankyou for making me learn the basics so nicely

By Khoa N

•

Jul 18, 2018

Thank you so much, Andrew. This course is so good

By CMC

•

May 28, 2018

Clearest explanation of optimization I have seen.

By Matthew A

•

Feb 19, 2018

Amazingly intuitive examples of complex concepts.