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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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4551 - 4575 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Oukaci

•

Jan 23, 2019

Very very excellent !!

By Maxim D

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Nov 25, 2018

Wery usefull and clear

By 毛怡帆

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Oct 2, 2018

I love teacher Andrew！

By Yoel W K

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Sep 8, 2018

Great! Really liked it

By Guillaume O

•

Aug 23, 2018

Very good introduction

By Md H

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Aug 7, 2018

This is awesome course

By Vincent L

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Jul 8, 2018

Andrew Ng is the best!

By im73

•

Mar 8, 2018

I'v learned a lot,Thx.

By jan V d P

•

Jan 5, 2018

Feels like progress :)

By Cristian B

•

Dec 23, 2017

excellent - tensorflow

By JM

•

Nov 5, 2017

Super Clear and Useful

By Sameer C

•

Oct 7, 2017

Amazing. Just amazing!

By Lingjian K

•

Sep 24, 2017

Andrew Ng is the best!

By Marat B

•

Sep 22, 2017

comprehensive material

By Kiyong H

•

Sep 14, 2017

It's so fun and useful

By Maurizio S

•

Sep 11, 2017

excellent as expected!

By Merwin F

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Sep 9, 2017

Great course. Loved it

By naveen m

•

Sep 4, 2017

thank you Prof Andrew,

By Vijayabhaskar J

•

Aug 21, 2017

Great Course as usual.

By Xếp T T

•

Aug 1, 2023

Thank for your course

By Jay M

•

Oct 18, 2021

It was good but short

By Francois L

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Nov 4, 2020

Excellent, as always.

By Jayant B

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Sep 28, 2020

It was a nice course!

By madhu g

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Sep 7, 2020

very nice explanation

By SAI V C

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Jul 4, 2020

VERY VERY GOOD COURSE