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

4.9
stars
63,283 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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6951 - 6975 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Sajal J

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Oct 28, 2019

Very good course.highly recommended

By Teodor C

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Feb 13, 2021

tensorflow1 instead of tensorflow2

By Shiva K

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Aug 23, 2020

nice one, but video quality is low

By SAID B

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Mar 15, 2018

It's a very helpful course.

thanks

By Vitaliy

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Feb 28, 2018

Was nice but something is missing.

By Lilith S

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Nov 4, 2021

the code is not working sometimes

By David B

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Oct 5, 2017

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By Julia W

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Dec 18, 2023

Videos are of poor audio quality

By Vincent L

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Jul 16, 2020

Interesting and tough to finish.

By Lenny F

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Sep 29, 2019

Would like to have more practice

By John M

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Apr 4, 2019

TensorFlow needs more explaining

By Sam M

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Apr 28, 2018

Some errors in jupyter notebooks

By ccbttn

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Oct 8, 2017

last assignment need improvement

By Julian F

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Sep 30, 2017

A very practical hands-on study.

By San Z

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Jan 23, 2021

Tensorflow part is not that ok!

By Massimiliano L C

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Dec 19, 2019

Great course, incredibly useful

By Pavao S

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Feb 11, 2018

I would like to see more theory

By Saad K

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Sep 12, 2017

Could probably be more condense

By Yash A

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Nov 23, 2020

More practice questions needed

By Ahmet D

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Sep 27, 2020

tensorflow should be told more

By Yu-Hsuan G

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Oct 21, 2017

Thank you for your teaching :)

By Ehsan G

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Aug 16, 2023

I'm happy for this experience

By Abraham M I

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Jul 27, 2020

need more intro to tensorflow

By Sebastian J R

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Jun 20, 2020

Labs should be more difficult

By SUJAY P

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Sep 4, 2020

nice ......but too diffucult