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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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3801 - 3825 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Dingduo Z

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Mar 29, 2020

Able to follow and understand root cause

By Ahmed R

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Feb 28, 2020

It's more than excellent, it's flawless!

By Ricardo S

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Nov 28, 2019

One of the best courses I've ever taken.

By Abhishek

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Jul 10, 2019

stupendofantabulousfantagoricallymagical

By Tarun M

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Apr 9, 2019

My experience was really really awesome.

By Yuan L

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Mar 4, 2019

very practical and well organised course

By dmitry p

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Jan 9, 2019

Good course, just jupyter notebook hangs

By Debadatta B

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Dec 31, 2018

One of the finest. Thank you Andrew Sir.

By Zhuoli X

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Oct 21, 2018

great course, tho it's getting harder XD

By Thomas V

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Oct 18, 2018

Thanks Andrew Ng. I enojoyed the course.

By Hao X

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Oct 3, 2018

Great step-by-step lecture, very helpful

By Shashikant P

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Jun 12, 2018

Another brilliant course from Andrew N.G

By ROBUST

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Jun 8, 2018

Thank you, This course is help me a lot.

By 蔡聪怀

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May 4, 2018

老师讲得非常赞！！而且课后的编程题目做得非常用心！！最后的证书非常的有成就感！！

By Jami H

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Jan 6, 2018

Perfect course to learn the fundamentals

By 王宇晟

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Jan 1, 2018

thanks andrew! this class help me a lot！

By Jesús P A

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Dec 5, 2017

Interesting contents and amazing teacher

By Robin S

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Dec 2, 2017

best course in the whole specialization!

By Paul H

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Nov 27, 2017

Awesome thats pretty much the best word!

By Ameya G

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Oct 22, 2017

Covers batch norm and optimizers nicely.

By Mostafa A

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Oct 16, 2017

well written course and concise material

By Edward D

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Oct 9, 2017

Really enjoy the last tensorflow project

By Oleksandr M

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Oct 5, 2017

Very useful algorithms and tips. Thanks!

By Ofir B

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Aug 23, 2017

This course is bright and clear as usual

By IOANNIS S

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Jul 26, 2023

amazing course! excellent tutor! thanks