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

4.9
stars
63,245 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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4101 - 4125 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Janis R

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Jan 25, 2020

Nice intro to TensorFlow, thanks!

By Bhavesh W

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Jan 2, 2020

Great Learning from this course!!

By Waqas A

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Dec 2, 2019

Awesome course. Programming rich.

By Haris P D

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Oct 20, 2019

A must take course for beginners.

By Shengyang L

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Oct 1, 2019

Thanks a lot coursera！Well done.

By 虞舒然

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Sep 27, 2019

Very Useful and detailed Contents

By Matias A

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May 27, 2019

Very good and interesting course.

By Haoran C

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Feb 23, 2019

I learned a lot from this course.

By Zoya

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Jan 26, 2019

Awesome course! Learned a lot! :D

By Jorge B

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Jan 4, 2019

Very practical, clear and useful.

By Brandon C

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Dec 6, 2018

Great info, and intuition sharing

By Max B

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Nov 21, 2018

Great course, highly recommended!

By reggie

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Oct 15, 2018

very helpful for tuning our model

By Vishal Y

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Sep 23, 2018

Hands down. Keep up the good work

By Sreedhar U

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Sep 6, 2018

Very crisp and clear explanation.

By Bhaskar G

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Aug 7, 2018

gives nice idea about tensorflow.

By 罗成毅

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May 30, 2018

I just want say, thank you a lot.

By Bart W J

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Apr 4, 2018

Pacing and structure are perfect.

By Yunfei D

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Mar 5, 2018

I learned a lot from this course.

By TengfeiShen

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Feb 1, 2018

本课程非常棒，从中学到了很多关于深度学习的知识，对于入门的获益匪浅

By Lin Z

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Dec 8, 2017

best and most practical DL course

By Jojo J M

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Nov 21, 2017

An extremely well drafted course!

By Sagar M

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Nov 19, 2017

Great course. Explains very well.

By Beno P

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Nov 19, 2017

Great course for beginner like me

By yuan j

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Nov 14, 2017

very good courses, help me a lot!