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

4.9
stars
63,325 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 30, 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.

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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4451 - 4475 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Li L

•

Oct 26, 2017

Very interesting projects

By WANG G

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Oct 22, 2017

Thanks, it's very useful.

By Nikolai K

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Oct 3, 2017

Great intro to tensorflow

By Jihoon K

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Oct 2, 2017

Incredibly nice as usual!

By sonyfe25cp

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Sep 30, 2017

very nice course! Thanks!

By Christian H

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Sep 29, 2017

short but nice overview !

By 卢润坤

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Sep 13, 2017

very good， very helpful!

By Diego V

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Sep 12, 2017

Great introduction to TF!

By Hemant B

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Sep 8, 2017

great course, worth doing

By Jelena M S

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Jul 26, 2022

Great and useful course!

By Tuan N

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Jul 17, 2022

thank you instructors <3

By Sandeep K

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Jan 24, 2022

It was very good course.

By Saeed A

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Oct 3, 2021

Thanks for your guidance

By Martin G M

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Jul 31, 2020

This Course is excellent

By Alexander J

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Jul 10, 2020

Really love this course!

By Aytan K

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May 8, 2020

insightful and practical

By Zhipeng L

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Apr 27, 2020

Very instructive course!

By Yuqicheng Z

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Feb 9, 2020

einfach super, wie immer

By Akshay R

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Nov 10, 2019

Also incredibly relevant

By Sourav S

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Nov 8, 2019

Thank You for the course

By Julian O G

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Jul 3, 2019

Muy completo y didactico

By yasser s

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Mar 30, 2019

Thank you! Very helpful!

By Wei L

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Jan 15, 2019

Fantastic course design!

By Jefferson R

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Nov 5, 2018

Bastante útil y práctico

By Thanga M

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Aug 1, 2018

Another excellent course