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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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5876 - 5900 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By manuel a m v

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Jun 12, 2020

great

By supun d

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Jun 11, 2020

Grate

By Suyash C

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Jun 8, 2020

Woah.

By OMKAR S

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Jun 1, 2020

Good.

By Sanskar j

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May 30, 2020

Nice!

By Shiyang F

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Mar 31, 2020

Great

By Yetao W

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Mar 10, 2020

great

By zhanghx

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Mar 7, 2020

Good!

By yuebin l

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Mar 4, 2020

bravo

By Alexander A

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Feb 20, 2020

Класс

By Saoudi H

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Dec 29, 2019

great

By 芃維 陳

•

Oct 20, 2019

Nice!

By Mohamed B

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Oct 1, 2019

great

By hitskyer

•

Sep 22, 2019

学到了很多

By GuyChriqui

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Jun 12, 2019

great

By Chenqingming

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Jun 7, 2019

great

By Wei L

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Mar 31, 2019

Great

By Jan N

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Mar 20, 2019

Great

By Xu Y

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Mar 11, 2019

great

By Gzq

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Mar 10, 2019

great

By Hernan R

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Mar 6, 2019

Good!

By Yuhao L

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Jan 12, 2019

good!

By hexinlin

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Nov 29, 2018

great

By 钟胜杰

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Nov 18, 2018

good!

By beihai Q

•

Nov 12, 2018

Good!