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
63,486 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

NC

Aug 18, 2017

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

Filter by:

5301 - 5325 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Haoqiu W

•

Mar 31, 2019

nice teacher

By Anchal S

•

Mar 17, 2019

Geate Course

By Almir I

•

Mar 9, 2019

Great course

By 任华琛

•

Feb 1, 2019

very helpful

By Deleted A

•

Jan 27, 2019

Great course

By RAMA R R

•

Jan 27, 2019

Great Course

By Kaiqiang W

•

Jan 26, 2019

Pretty Good！

By Shravan M

•

Jan 17, 2019

Thank You!!!

By David

•

Jan 15, 2019

Very Useful!

By Lakshmi N S

•

Jan 14, 2019

Nice course.

By Ahmed D

•

Jan 13, 2019

very amusing

By Dhananjay O

•

Jan 8, 2019

great course

By To P H

•

Jan 1, 2019

Great course

By 洪天悦

•

Dec 24, 2018

Good content

By sag s

•

Dec 1, 2018

Just AWESOME

By T, K

•

Nov 3, 2018

Nice Course!

By Yanxiang Y

•

Oct 26, 2018

Best course!

By Xu T

•

Oct 19, 2018

very useful.

By Udit S

•

Oct 9, 2018

Great course

By eralpozcan

•

Sep 23, 2018

Andrew Ng <3

By Wojciech P

•

Sep 11, 2018

Great course

By Dalai Y

•

Sep 7, 2018

Very useful!

By anupam b

•

Aug 8, 2018

Good part 2!

By 唐志强

•

Aug 7, 2018

Thanks a lot

By 杨潇

•

Jul 26, 2018

really great