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

4.9
stars
63,068 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

XG

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Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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3926 - 3950 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 吴京城

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Aug 8, 2018

Very nice, step-by-step instructions!

By jayanta m

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Jul 30, 2018

Got idea about regularization and all

By Debjyoti B

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Jun 2, 2018

Perfect course for intermediate level

By George L

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May 31, 2018

Excellent Course, very practical tips

By Mike R

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Mar 15, 2018

another clear and to the point course

By Soumyanil B

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Mar 4, 2018

Excellent and very informative course

By Szymon B

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Mar 4, 2018

Lots of valuable practical knowledge.

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 tri

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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!