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

4.9
stars
63,489 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 :)

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5426 - 5450 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By LiuGuotai

•

Oct 3, 2017

good lesson

By Sandeep M

•

Oct 1, 2017

Nice course

By 李少芃

•

Sep 30, 2017

Excellent !

By 张琪

•

Sep 14, 2017

老师讲的很细，受益很多

By Hamza A

•

Aug 21, 2017

Excellent !

By yining

•

Aug 19, 2017

outstanding

By 吴凡

•

Aug 16, 2017

very good!!

By Santiago M

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Sep 28, 2024

Me encanto

By Gülşah K

•

Sep 20, 2024

wonderfull

By 1437_ANKIT T

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Sep 13, 2023

Excellent!

By BISHWANATH J

•

Sep 5, 2023

Over Power

By Xiaolin W

•

Mar 23, 2023

Thank you!

By 赵毅

•

Dec 3, 2022

Thank you!

By Akomévègni S

•

Aug 2, 2022

Excellent

By 최정식

•

May 15, 2022

Thank you.

By 薛舒心

•

May 1, 2022

Thank you!

By 徐洁

•

May 1, 2022

Thank you!

By liubingxin

•

Apr 16, 2022

very well！

By Zelin W

•

Jan 20, 2022

Thank you!

By Qi S

•

Jan 19, 2022

Thank you!

By Chen

•

Jan 8, 2022

Thank you!

By Xin Y

•

Jan 1, 2022

Thank you!

By Shaofei Q

•

Nov 29, 2021

Thank you!

By Yi C

•

Oct 23, 2021

Thank you!

By Quan Y

•

Oct 21, 2021

Thank you!