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
63,296 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

XG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

Filter by:

5051 - 5075 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rashid A

•

Oct 29, 2017

Awesome course!

By Siddhartha J

•

Oct 27, 2017

Great course !!

By jocundhang

•

Oct 15, 2017

对提高模型的正确率有很大的帮助

By Ripunjoy G

•

Oct 11, 2017

Great teaching.

By 小林Andy

•

Oct 6, 2017

介绍了很多新的知识，非常有帮助

By Limber

•

Sep 28, 2017

Really helpful.

By Paddy M

•

Sep 17, 2017

Very practical.

By Gowri S

•

Sep 9, 2017

Awesome Course.

By Ce J

•

Sep 5, 2017

really helpful~

By Xuan L

•

Aug 26, 2017

Great tutorial!

By Zhi H

•

Aug 21, 2017

very practical!

By Jia Y

•

Aug 14, 2017

Very good MOOC!

By Randal E

•

Jul 8, 2023

knowledge good

By Areeg F

•

Jan 17, 2023

awesomeeeeeeee

By Arkan N

•

Sep 30, 2022

great course!

By Yahya S A

•

Aug 18, 2022

Great course!

By Abhishek S

•

Jul 28, 2022

Awesome course

By Youness B

•

Aug 2, 2021

très important

By Dr. K B P I

•

Jul 4, 2021

Great Learning

By Giang P T

•

Apr 27, 2021

Awesome course

By Jose R C V

•

Apr 3, 2021

It's excellent

By preeti s

•

Mar 16, 2021

Great learning

By Mario A L P

•

Feb 28, 2021

Muy buen curso

By Blue B

•

Dec 31, 2020

it was perfect

By Shreyash

•

Nov 30, 2020

It was Awesome