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

4.9
stars
63,295 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 8, 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 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.

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3876 - 3900 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By xiaoxingyu

•

Nov 5, 2017

perfect!! especially the program work!!

By Sheng W

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Sep 24, 2017

Some key points are explained very well

By Stephane J

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Aug 30, 2017

Brilliant, very clear and comprehensive

By 王特

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Aug 29, 2017

学了很多调试的技巧，迫不及待找个小的项目来练手了！！！感谢Andrew Ng！

By Jeff K

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Aug 24, 2017

I love the information about TensorFlow

By Eldar Š

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Aug 18, 2017

Very interesting and useful. Thank you!

By Wassim R

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Aug 15, 2023

Thank you. Difficult but very helpfull

By Above O

•

Jul 23, 2023

really great course by Andrew and Team

By Andrey Z

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Jan 6, 2022

All so clear and interesting to watch

By mike l

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Jan 2, 2022

I really learnd a lot from the course.

By Parma R R

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Dec 8, 2021

Very good course. Thank you Mr. Andrew

By wayne t

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Aug 3, 2021

very good course for beginner to study

By SYEDUMAIR H

•

Apr 3, 2021

Great Course! JazakAllah From Pakistan

By Md G R T

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Jan 16, 2021

Another excellent course by Andrew Ng!

By Mohsen S

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Nov 15, 2020

I enjoy every second of this course!!!

By Miguel C N

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Oct 18, 2020

Great course, by an amazing professor!

By Valerii P

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Sep 15, 2020

Good, helpful, well designed.

Thank you

By Shankar P

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Aug 20, 2020

Excellent clarity and great intutions.

By Carlos L

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Aug 7, 2020

I loved it! Thank you for offering it!

By Manmohan K

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Jun 3, 2020

It's great but uses tensorflow 1 not 2

By Oreste M

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Jun 2, 2020

Once again I could not stop learning !

By Julien L

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Apr 23, 2020

Great content and very well explained.

By Karyl O

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Feb 8, 2020

Very in-depth explanations! Thank you!

By Praveen P

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Jan 10, 2020

Easy to follow and very informational.

By Krishanu B

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Oct 27, 2019

Beautiful course. Very much Satisfied.