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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,484 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

AM

Oct 9, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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.

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3326 - 3350 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By makthum s

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Jul 30, 2018

One of Tough and interesting course in specialization!

By METHUKU P

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Jul 6, 2018

Very good one but frameworks part is little bit clumsy

By Philipp K

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Apr 30, 2018

I have learned so much of of this course. Keep it up!!

By Debasish G

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Apr 8, 2018

Full of practical advice. Great course - very helpful.

By Rui X

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Mar 19, 2018

The expected output is wrong in last week's assignment

By Ruslan N

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Feb 7, 2018

Great course and finally an introduction to Tensorflow

By Khalid H

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Oct 5, 2017

great to know such details for tuning hyperparameters!

By Allen S

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Oct 4, 2017

Great information building on class one in the series.

By Bao P

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Oct 1, 2023

Greate course for learning about deep neural networks

By Zixuan W

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Nov 1, 2021

May be better to bring more detail about DL framework

By Spiritual S

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Oct 20, 2021

Very interesting material with impactful presentation

By 林柏嘉

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Sep 27, 2021

Really clear and in-depth concept about Deep Learning

By Parth K

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Apr 7, 2021

Thanks to Andrew Sir and all the Deep Learning Hero's

By PAWAN B

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Dec 13, 2020

Really Greatway of teaching concepts by Lab Sessions.

By Bilal D

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Dec 13, 2020

good course.

but same quiz shouldn't repeat each time.

By Yun D T

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Aug 17, 2020

Awesome course! Step by step and very easy to follow.

By Alicia L

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Jul 17, 2020

Bastante ameno y muy adecuado para empezar proyectos.

By Ankita G

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Jun 23, 2020

The course is designed very well. Enjoyed learning!!!

By Milind Y

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Apr 13, 2020

Amazing course. Great job by instructors and Mentors.

By Vipul T

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May 21, 2019

Excellent. However more exercises should be included.

By Aishwarya R

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Mar 19, 2019

deeplearning.ai courses are worth the time and effort

By 王新越

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Jan 29, 2019

The course is useful for me ,and I have learned much.

By David P

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Oct 31, 2018

Gained a good understanding about the regularization.

By Fernando E L M

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Oct 18, 2018

Excellent training, easy to follow material and labs.

By Muhammad R M

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Oct 9, 2018

This course is a little tough but Its really worth it