Name: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (7281 reviews)

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

4.9

stars

63,477 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

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

May 5, 2018

Would have liked to see the math and more complete explanations for all the things that Prof. Ng glosses over by saying "you don't really need to understand XYZ". Even if this material was optional.

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3951 - 3975 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Tse-Yu L

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Feb 18, 2018

Nice course, excellent course design.

By Jitender S V

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Jan 5, 2018

Awesome course by awesome teacher :))

By Razvan B

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Dec 17, 2017

Great explanations and very practical

By Yuri V H V

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Dec 1, 2017

the best course , I feel very excited

By WANG H

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Nov 29, 2017

Very practical and helpful ! Thanks !

By Matías P B O

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Nov 17, 2017

Awesome course as usual by Andrew Ng.

By Sambram B

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Nov 12, 2017

Amazing course covering great details

By Andrew D

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Oct 28, 2017

Deeper insight how tuning parameters.

By Jurassic

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Sep 24, 2017

Very good course. Highly recommended!

By Ravikumar V

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Sep 17, 2017

Crucial concepts very well explained.

By Manash M

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Aug 31, 2017

Awesome course! Strongly recommended!

By Miriam F

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Aug 17, 2017

Thank you again for this nice course!

By Mithun K

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Apr 21, 2023

Exceptional! Thanks Andrew and team!

By Javier B R

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Feb 14, 2023

Such a great course on deep learning

By Boubacar D

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Dec 31, 2022

Excellent cours j'ai beaucoup appris

By A. R S U

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Jun 17, 2021

Awesome materials with deep insights

By Anirudh S

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Oct 11, 2020

Great course! 10/10 would recommend!

By Andrei S

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Oct 11, 2020

Amazing course! Thank you Andrew NG!

By Amos O O

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Oct 10, 2020

Lovely course and a little bit tough

By Gusti A F A

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Aug 16, 2020

I really enjoy the course, thank you

By aldo p

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Jul 23, 2020

great course with detail explanation

By Alan L

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Jun 15, 2020

useful and very detail for beginners

By Mike S

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Jun 11, 2020

Awesome course! Thank you very much!

By Rahul V H

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May 15, 2020