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
63,068 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

XG

Invalid date

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.

YL

Invalid date

very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

Filter by:

4451 - 4475 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yuqicheng Z

•

Feb 9, 2020

einfach super, wie immer

By Akshay R

•

Nov 10, 2019

Also incredibly relevant

By Sourav S

•

Nov 8, 2019

Thank You for the course

By Julian O G

•

Jul 3, 2019

Muy completo y didactico

By yasser s

•

Mar 30, 2019

Thank you! Very helpful!

By Wei L

•

Jan 15, 2019

Fantastic course design!

By Jefferson R

•

Nov 5, 2018

Bastante útil y práctico

By Thanga M

•

Aug 1, 2018

Another excellent course

By Inderjeet S

•

Jun 13, 2018

Wonderful Explainations.

By Nguyen C T

•

Feb 12, 2018

It is easy to understand

By GNITOU T

•

Jan 10, 2018

I REALLY ENJOYED IT !!!!

By Li Z

•

Dec 26, 2017

Very Useful! Think you !

By 张峰

•

Dec 9, 2017

这个系列课程的字幕遮挡问题一直是个槽点，希望改进

By 程皓

•

Nov 26, 2017

little diffcult but good

By Mohammed A

•

Nov 21, 2017

OF COURSE A GREAT COURSE

By Georgii F

•

Oct 29, 2017

Great course, thank you!

By Katharina K

•

Oct 16, 2017

Amazing thanks Prof. Ng!

By Tất T V

•

Oct 9, 2017

good, easy to understand

By Ofentswe L

•

Sep 22, 2017

This course is very good

By Kartoue M D

•

Sep 18, 2017

Very interesting course!

By Sl4er

•

Sep 16, 2017

作业是不是有点问题，满分但是跑出的结果有点不一样

By yinling l

•

Aug 20, 2017

very useful and thanks!

By Jesus F B

•

Aug 17, 2017

Complete and interesting

By Pablo C B U

•

Aug 25, 2021

Nice Theoretical Course

By Yongkang L

•

Aug 22, 2021

very good，help me a lot