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
63,175 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

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

XG

Oct 30, 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:

5776 - 5800 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Mehmet A N

•

May 13, 2018

perfect

By Jacques F

•

May 5, 2018

perfect

By 王世超

•

Mar 31, 2018

Prefect

By IceAzen

•

Mar 25, 2018

thx~Ng!

By Muhamad F K

•

Mar 13, 2018

Superb!

By aka 大

•

Feb 22, 2018

perfect

By hongtao z

•

Feb 14, 2018

Thanks!

By 石玉明

•

Jan 27, 2018

COOL!!!

By 叶国祥

•

Dec 16, 2017

Thanks!

By Saurabh B

•

Dec 12, 2017

Perfect

By Zhihui F

•

Nov 29, 2017

perfect

By Imtiaz K

•

Nov 29, 2017

perfect

By Washing L

•

Nov 21, 2017

Useful.

By Akshay M

•

Oct 29, 2017

awesome

By Priyank R S

•

Oct 24, 2017

Awesome

By guanghuiqi

•

Oct 16, 2017

改善神经网络，

By 雷后超

•

Oct 12, 2017

老师讲的非常好

By Oleg D

•

Oct 1, 2017

awsome!

By anurag t

•

Oct 1, 2017

awesome

By Rongjun L

•

Sep 20, 2017

非常棒的课程。

By douxiao

•

Sep 20, 2017

课程内容不错！

By Joshua L

•

Sep 2, 2017

Amazing

By 书生杨

•

Aug 20, 2017

perfect

By Anas I E

•

Jan 15, 2024

Great!

By amir k

•

Jul 2, 2022

great!