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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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4351 - 4375 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Arjun g

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Sep 27, 2019

Great Course! Thanks Andrew

By Le Y

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Sep 16, 2019

useful practical techniques

By Eddy P

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May 15, 2019

really helpful tuning skils

By Omar R L

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Jan 23, 2019

very useful and fondamental

By Amir K

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Jan 18, 2019

To the point and effective!

By Abhishek B

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Jan 16, 2019

Awesome Content and tutors!

By Jonathan H

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Oct 11, 2018

Very practical and helpful!

By Bogdan P

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Sep 24, 2018

The course was very helpful

By Dengrong J

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Sep 10, 2018

Very practical and helpful.

By Tiequan L

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Jul 18, 2018

Great. Effeicient teaching.

By Clark C

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May 18, 2018

It's a great course on DNN.

By Mirzodaler M

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Apr 16, 2018

Very useful course. Thanks!

By Shiwei T

•

Apr 15, 2018

非常棒的课程，推荐所有准备入门深度学习的同学来进行学习

By BD2020

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Mar 3, 2018

Thank you, Prof. Andrew Ng!

By Jimmy

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Jan 21, 2018

Andrew Ng is still a legend

By Deepak K S

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Dec 24, 2017

Great Course. I enjoyed it!

By Tian Z

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Dec 8, 2017

Very inspiring and helpful!

By Pranay C

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Dec 3, 2017

Very intuitive explanations

By 童宇青

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Nov 21, 2017

This course is very great!.

By Chiayu L

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Nov 11, 2017

great lecture. Many thanks!

By Alex Y

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Oct 7, 2017

Andrew is great, as always!

By Daniel G

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Sep 28, 2017

Excellent learning resource

By Prasenjit P

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Sep 28, 2017

Superb!! thanks Andrew Ng!!

By Jun W

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Sep 20, 2017

Still the best of the best!

By Nir D

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Sep 19, 2017

Very clear and interesting!