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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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4301 - 4325 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Zhuoran L

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Dec 17, 2019

like Andrew Ng very much!!!!

By Bica V A d S

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Dec 12, 2019

I love how you teach newbies

By Rajeev R

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Jun 20, 2019

Its again a very useful one.

By Artem D

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Jun 10, 2019

Very interesting and useful!

By Varun

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Jun 4, 2019

Nice course, one must do it.

By Ayon B

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Mar 19, 2019

Good explanation of concepts

By Claudio C

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Feb 17, 2019

very useful also for experts

By Guillermo F

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Feb 15, 2019

Excellent course, thank you!

By Pruthvi R R G

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Jan 27, 2019

Superb Course for beginners!

By Zhiliang W

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Jan 25, 2019

Great lectues and exercises!

By Chethan K

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Jun 10, 2018

Best course in this segment.

By Mihai-Florin A

•

May 5, 2018

Excellent course, as always!

By awesyang

•

Mar 31, 2018

Great course! Thanks Andrew!

By Vaibhav K

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Mar 16, 2018

Great course to be a part of

By SUN H

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Feb 24, 2018

Very interesting and helpful

By Priyanka K

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Jan 16, 2018

Thank you sir for the course

By Vishal K

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Nov 29, 2017

Goood course - learnt a lot!

By Saibal D

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Nov 21, 2017

Good learning experience !!!

By Sreejith S

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Oct 2, 2017

Nice course. Thanks Anderw!

By Kunkyu L

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Sep 6, 2017

Good to tune hyperparameters

By XUAN T P

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Sep 4, 2017

As great as the first course

By Yunxiang L

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Sep 3, 2017

给我带来了很大的提高，对于深度学习的理解更加透彻，感谢！

By Clarence W

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Sep 2, 2017

该系列课程的第二部分，对神经网络超参的讲解，非常有价值！

By FEI Z

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Aug 31, 2017

Great course as the 1st one!

By zios s

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Aug 23, 2017

awesome Course

Great teacher