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

4.9
stars
63,296 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

Oct 31, 2017

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.

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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5926 - 5950 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hong W

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Sep 25, 2017

Sweet

By Edisson R

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Aug 25, 2017

12/10

By Mohanraj S 2

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Jun 30, 2024

good

By 1544_OMM J

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Sep 18, 2023

good

By Kiệt H V T

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Apr 8, 2022

Nice

By 1172陳耑任

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Mar 11, 2022

good

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Jan 12, 2022

Good

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Sep 5, 2021

good

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Aug 14, 2021

good

By 322_PRADIPTA C

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Aug 7, 2021

good

By 谭博予

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Jul 7, 2021

good

By 刘铭

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Jun 28, 2021

good

By Aniruddha B

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Apr 22, 2021

Nice

By GC L

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Feb 18, 2021

good

By Ibadurrahman

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Dec 17, 2020

nice

By Ivri K

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Dec 11, 2020

nice

By Gulnara A

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Oct 15, 2020

Best

By Atrayee C

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Sep 30, 2020

good

By Souvik P

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Sep 29, 2020

good

By Diwakar S

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Sep 27, 2020

good

By Pradeep

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Sep 19, 2020

good

By Nitesh N

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Sep 11, 2020

cool

By Sumera H

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Sep 1, 2020

good

By boulealam c

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Aug 24, 2020

good

By Muhammad T S

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Aug 22, 2020

Nice