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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

XG

Invalid date

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.

YL

Invalid date

very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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3401 - 3425 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By MH R

•

Jul 26, 2020

This course is amazing and Andrew Ng is the best...

By ritwik b

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Jul 13, 2020

Challenging , yet super rewarding. Really Loved it,

By Thejus H R

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May 18, 2020

Really, really useful. Incredibly well done course!

By K A N R

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May 10, 2020

Very Good course and it useful for all the learners

By Mohamed B

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Apr 29, 2020

Thank you for your course and your pedagogic skills

By Dr. F R M

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Apr 15, 2020

Fantastic !

Gaining confidence course after course.

By Jeffrey B

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Mar 27, 2020

Another great course! Can't wait for the next one!

By Rehan S

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Dec 28, 2019

Very informative and well organized for all levels.

By Ventseslav V

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Dec 21, 2019

Great content, programming exercise with Tensorflow

By Jonathan F

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Aug 7, 2019

This course is really well done. Great first steps.

By saad a

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Jul 22, 2019

perfect course, very clear. Thank you Dr. Andrew Ng

By Bill F

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Jul 16, 2019

Lots of techniques and methods for optimizing a NN.

By Deleted A

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Feb 21, 2019

wanna know what going under hood , explore this one

By Nitin s

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Jan 22, 2019

Fun, Enlightening and above all easy to understand.

By Priyanka D G

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Nov 25, 2018

It is already good, But places need to correct typo

By hong c

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Aug 9, 2018

thank for teachers provider this course,very useful

By 顏佑軒

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Jun 24, 2018

This is really really a good course to deeplearning

By Jack

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Jun 12, 2018

Fantastic presentation with details well explained!

By Juan V

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Jun 10, 2018

Great course! Really well explained, step-by-step!!

By Arnab S

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Mar 5, 2018

Amazing course. Got to learn about hyperparameters.

By Juan R

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Feb 15, 2018

Great course, well covered and perfectly explained.

By Wei X

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Jan 25, 2018

As the other two previous courses, I learned a lot.

By Earl R

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Oct 29, 2017

Great instructor!! Teaches at just the right level.

By Kyle S

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Oct 9, 2017

He's done it again! Seriously Andrew Ng is the man.

By Heejo L

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Aug 19, 2017

Great tutorial course for Deep Learning !!! Thx !!!