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

4.9
stars
63,486 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

NC

Aug 18, 2017

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

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4301 - 4325 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By MOHSIN A

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Jul 1, 2020

thank you, Prof.AndrewNg sir

By Shehan S

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May 31, 2020

Wonderful course. Thank you.

By Md. F B R

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May 30, 2020

Love you 2 sir Andrew Ng. <3

By Parmar A S

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May 10, 2020

Fabulous must learn once...!

By Shivanand

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May 9, 2020

Great assignment and quizzes

By prarabdh r 1

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Apr 25, 2020

nice course..short and crisp

By Priyansh K

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Mar 25, 2020

nice course and very helpful

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

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May 5, 2018

Excellent course, as always!

By awesyang

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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 Haiwei S

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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 !!!