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

4.9
stars
63,243 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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3501 - 3525 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jair G

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Aug 15, 2018

Top level material. Very useful to run a project.

By Ananta A

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Aug 13, 2018

Thankyou for making me learn the basics so nicely

By Khoa N

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Jul 18, 2018

Thank you so much, Andrew. This course is so good

By CMC

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May 28, 2018

Clearest explanation of optimization I have seen.

By Matthew A

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Feb 19, 2018

Amazingly intuitive examples of complex concepts.

By Bonnie M M B

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Feb 18, 2018

Love the explanations and programing assessments.

By WEIJIAN K

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Nov 22, 2017

There are many deep learning optimization methods

By preethi v

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Nov 20, 2017

very useful course for tuning the neural network.

By Kalle H

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Nov 9, 2017

Great course with clear well structured lectures.

By Jamie A M

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Nov 5, 2017

By far one of the best uptodate courses about DL.

By Rishubh P

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Nov 2, 2017

Awesome experience, learnt a lot from this course

By Lucas Y

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Oct 29, 2017

A thorough course that progressed at an easy pace

By Nikola M

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Oct 22, 2017

great course. Hope to see more of your good work.

By 刘宇轩

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Oct 19, 2017

Not difficult to follow, while much to gain from.

By PRASHANT K R

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Oct 12, 2017

Nothing could better than this...love this course

By Johnson N

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Oct 11, 2017

wrong review oops. havent finished this class yet

By Jehwan K

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Mar 18, 2024

it's a course to take many informational things.

By Xu Z

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Nov 5, 2021

Deep into the Neural Networks with Professor Ng!

By Mantas B

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Dec 30, 2020

Very straight forward and understanding course!

By Ruben R R

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Aug 26, 2020

Lots of useful concepts, with hands-on examples!

By Glendon H

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Aug 12, 2020

Thanks Andrew! Your explanations are excellent!

By YounghaeKim

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Jul 25, 2020

Always Thanks to Andrew for high quality course.

By MANOJ K

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May 12, 2020

Great content for beginners and concept focused.

By Haoran L

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Mar 18, 2020

Very concise and informative. Loved the homework

By Carlos A J H

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Feb 7, 2020

Excelent course, as always with professor Andrew