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

4.9
stars
63,486 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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5801 - 5825 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Zhihui F

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Nov 29, 2017

perfect

By Imtiaz K

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Nov 29, 2017

perfect

By Washing L

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Nov 21, 2017

Useful.

By Akshay M

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Oct 29, 2017

awesome

By Priyank R S

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Oct 24, 2017

Awesome

By guanghuiqi

•

Oct 16, 2017

改善神经网络，

By 雷后超

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Oct 12, 2017

老师讲的非常好

By Oleg D

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Oct 1, 2017

awsome!

By anurag t

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Oct 1, 2017

awesome

By Rongjun L

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Sep 20, 2017

非常棒的课程。

By douxiao

•

Sep 20, 2017

课程内容不错！

By Joshua L

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Sep 2, 2017

Amazing

By 书生杨

•

Aug 20, 2017

perfect

By Anas I E

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Jan 15, 2024

Great!

By amir k

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Jul 2, 2022

great!

By spactempo

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Jan 28, 2022

Great

By Natthakorn K

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Sep 14, 2021

Greek.

By Tanishka M

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Apr 11, 2021

Great!

By PRASAD D

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Sep 2, 2020

Thanks

By Mahin

•

Jul 31, 2020

Superb

By Dave L

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Jul 10, 2020

good !

By Adilson J J C

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May 20, 2020

THAMKS

By Mohamed Z K

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Apr 26, 2020

Thanks

By Daniel B

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Apr 22, 2020

Lovely

By Mohammad J P

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Mar 27, 2020

Great!