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
63,395 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

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

DD

Mar 29, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

Filter by:

3576 - 3600 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Javedali S

ā€¢

Feb 12, 2018

Awesome Awesome .. THanks Andrew, you are best.

By zawar k

ā€¢

Nov 5, 2017

it is a good course with good learning material

By Harish S

ā€¢

Oct 30, 2017

This was very interesting and practical course.

By ęˆšč·ƒå®‡

ā€¢

Oct 26, 2017

I love this course ,and i love Andrew.thank you

By Joffre L V

ā€¢

Oct 10, 2017

Thanks, ... another step given in ML

Joffre Luis

By ę“Ŗ锋

ā€¢

Sep 19, 2017

Learned to useDNN framework to solve problemsļ¼

By Ajinkya C

ā€¢

Nov 12, 2023

One of the best source to learn deep learning.

By Saumya R S

ā€¢

Mar 23, 2021

really good concept, helped me learn, worth it

By Ernesto G d l P

ā€¢

Mar 12, 2021

Brilliant, nice flow of assignments and theory

By Chetraj P

ā€¢

Oct 2, 2020

The best Deep Learning Course in the internet.

By Piyas C

ā€¢

Aug 15, 2020

The lecture of Professor Andrew Ng is amazing.

By Kyaw T H

ā€¢

Jul 12, 2020

Very Excellent Course for DeepLearning Learner

By Yi S

ā€¢

Jul 11, 2020

The most wonderful course about deep learning.

By Yair Y P V

ā€¢

Jul 10, 2020

Great introduction to deep learning frameworks

By Sujit M

ā€¢

Jun 10, 2020

Felt little complex. But finally completed it.

By Aishik R

ā€¢

May 27, 2020

Tensorflow part coulda been more comprehensive

By Prem M

ā€¢

Mar 1, 2020

A great course that gives you valuable skills.

By Akil R

ā€¢

Jan 28, 2020

Great, well organised, student-centred course.

By Frank S

ā€¢

Nov 10, 2019

Excellent!! Lots of fun. Clear explanations.

By Md. S R

ā€¢

Sep 7, 2019

The last assignment on tensorflow is amazing!!

By Mohit P

ā€¢

Jul 7, 2019

Love the way course is arranged.Thank you Sir.

By Akshay H

ā€¢

May 21, 2019

Great course. Thanks to the instructor and TAs

By Camilo G

ā€¢

Mar 2, 2019

Great way to introduce topics in Deep Learning

By chanish a

ā€¢

Jan 5, 2019

I never have enjoyed this much while studying.

By Gautam E

ā€¢

Jul 1, 2018

Nice to see a numpy vs tensor flow comparison!