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

4.9
stars
63,295 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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3401 - 3425 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By mahmoud a

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Sep 15, 2017

great start for any beginner to take his first steps

By David W

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Sep 7, 2017

Much deeper into the learning! Great! Thanks a lot!

By PeiDa K

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Aug 29, 2017

Well put-together. The discussion forum is helpful.

By Lê B Q T

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Oct 25, 2023

I think we should go more details about hypertuning

By Shivam S

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Sep 24, 2021

good course to understand Improving Neural Networks

By JUAN P R U

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May 11, 2021

Excelente curso, muy agradecido por el aprendizaje.

By Shubham R

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Feb 27, 2021

Great Course. Learnt a Lot. Learnt tensorflow also.

By Enuganti P K

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Dec 9, 2020

Great course with intuitive and timely explanations

By Isuru A

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Nov 8, 2020

Best ever course in the world to learn deeplearning

By Md. A A M

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Sep 19, 2020

As expected from Mr. Andrew Ng. Highly recommended.

By Satabdi G

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Aug 16, 2020

It's an awesome course. I enjoyed very minute of it

By Thangamari

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Aug 4, 2020

Its very very nice course..creative thinking course

By MH R

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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