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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
62,864 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

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

AS

Apr 18, 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

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5476 - 5500 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Predrag S

•

Mar 10, 2018

Excellent.

By 郑毅腾

•

Mar 1, 2018

wonderful！

By Zito R

•

Feb 27, 2018

Excellent!

By francisco a

•

Feb 22, 2018

Excelente!

By zc

•

Jan 23, 2018

very nice!

By Nurmukhamed U

•

Jan 19, 2018

Well done!

By Michael M

•

Jan 8, 2018

Excellent!

By Jian G

•

Jan 3, 2018

very nice!

By 王鑫

•

Nov 23, 2017

very good!

By 邵洋

•

Nov 21, 2017

very nice!

By Daniel V

•

Nov 14, 2017

awesome!!!

By free_siemens

•

Oct 27, 2017

impressive

By Jiameng P

•

Oct 20, 2017

recommend！

By Panos B

•

Oct 18, 2017

Fantastic!

By ricky a

•

Oct 18, 2017

Just great

By Rui M

•

Oct 9, 2017

Insightful

By Fabrício M B

•

Oct 8, 2017

Excellent.

By Deleted A

•

Oct 7, 2017

Love it!!!

By ryan

•

Sep 24, 2017

Awesome!!!

By 黄顺亮

•

Sep 24, 2017

very good!

By Shikun C

•

Sep 20, 2017

brilliant!

By Tibor Z

•

Sep 20, 2017

excellent!

By 姚佳奇

•

Sep 14, 2017

Very good!

By fgcook

•

Sep 1, 2017

理解更深了一层，很好

By Richard S

•

Aug 24, 2017

Excellent!