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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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3851 - 3875 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Nick B

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Jun 10, 2018

Excellent as always! Thanks Andrew sir.

By jyhong

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May 28, 2018

A very meaningful course. It's perfect！

By Wix Z

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Apr 15, 2018

It helps me a lot. Highly recommended.

By steven c

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Apr 4, 2018

the learning process might be clarified

By brightmart

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Mar 14, 2018

practical lessons learned, very useful.

By Patrick E

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Jan 22, 2018

Very exciting and interesting material.

By Arnaud G

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Jan 10, 2018

As always with Andrew Ng, great and fun

By Wisteria

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Dec 25, 2017

Thanks for Andrew NG, very nice courses

By Soumya S

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Dec 9, 2017

Pragmatic balance of theory and hand on

By Arun R

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Nov 6, 2017

Way the content is explained in awesome

By xiaoxingyu

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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

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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

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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!!!