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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

AA

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Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

AM

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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

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3626 - 3650 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Shivam S

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Jun 10, 2019

Very Detailed Course. Lots of stuff to learn.

By Khaled J

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May 21, 2019

Excellent course with practical applications!

By Вадик Л

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May 6, 2019

Mmmmm, very interesting and powerfull course!

By Samkit J

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Apr 28, 2019

Great course. Excellent for concept building.

By Sangeet K

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Apr 19, 2019

It's really a great course by a great mentor.

By Miguel A A U

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Apr 3, 2019

Nice hints on how to improve DNN performance!

By barryhf

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Apr 1, 2019

It is a privilege to learn from Professor Ng.

By Rajat C

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Feb 18, 2019

Brilliant way of covering a complicated topic

By Robert M

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Jan 29, 2019

Really enjoyed the last section on TensorFlow

By rajesh t

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Jan 22, 2019

Very interactive and very clear explanations.

By Sarfaraz K

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Jan 19, 2019

Very well organized course by a great teacher

By Uğurcan A

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Nov 2, 2018

I have better intuition about Neural Network.

By Saurabh J

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Sep 20, 2018

More practical real life examples would help.

By Hussain B

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Aug 30, 2018

Highly recommend this course to the begineers

By Ankit S

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Jun 13, 2018

Beautiful way of learning, Thanks Andrew Sir.

By raj m

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Mar 28, 2018

Very well explained with practical scenarios.

By Ankit P

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Mar 11, 2018

Simple explanations of complex optimizations.

By Kiran B

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Feb 17, 2018

Thanks for making such great materials public

By Rama K P

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Jan 26, 2018

Excellent course and thank you Andrew Ng sir.

By Xingming L

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Jan 16, 2018

It is the best AI course I learned until now.

By 蜗牛爱上星星

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Dec 28, 2017

既可以通过视频学习理论知识，又能够通过在线编程实际实践。很容易掌握。真是不错的难得的课程！

By Jin D

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Dec 21, 2017

Learned many useful and practical techniques!

By 李珂

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Nov 11, 2017

So many practical advices! Well done, Andrew!

By Ananth K

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Sep 24, 2017

Professor Andrew's presentation is fantastic.

By Jacky L

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Sep 10, 2017

Assignment is quite helpful and well designed