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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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3151 - 3175 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Halima E

May 3, 2018

Que dire ! très belle introduction , explication parfaite ,

By Chaudhari H R

Mar 16, 2018

This is another great machine learning course by andrew ng.

By Andrew S

Feb 1, 2018

Amazing course, very easy to understand and you learn a lot

By Raşit A

Jan 4, 2018

Very informative course on tuning the deep neural networks.

By Alexey K

Nov 6, 2017

Thank you for the interesting lessons and new knowledges...

By Sergio-Feliciano M

Sep 16, 2017

Love this courses, I am learning a lot!

Thank you very much!

By Ramesh M

Aug 16, 2017

So thankful for elaborate and clear content in this course.

By ATUL M

Jul 24, 2022

Awesomeness overloaded.

Thankyou for this kind of knowledge

By Afsar k

Jul 28, 2021

Such a wonderful and helping personality of Sir, Andrew Hg

By Sounak B

Jun 19, 2021

Wonderful course learnt a lot about tuning hyperparameters

By Maximilian G H

Feb 22, 2021

Good overview of more practical aspects for deep learning.

By Juan C J

Jan 22, 2021

Good insights on common practices to work with NN everyday

By Безруков А Р

Jan 20, 2021

As always, excellent explanations of the material. Thanks!

By Conrad L

Oct 6, 2020

Really good content. A bit challenging but not impossible.

By Ricardo S M

Sep 14, 2020

Excelent course with the important details of training DNN

By Lucas F

Aug 26, 2020

Amazing Course like always! Andrew Ng is a top instructor!

By Yaungni L L

Jul 26, 2020

This is a great course if you want to learn deep learning.

By Paras J

Jun 4, 2020

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By Maxence d B C

May 4, 2020

A bit redundant if taken after the Machine Learning class.

By prateek s

Mar 29, 2020

Great course. Covered most of the optimization techniques.

By Aditya K

Feb 23, 2020

Wonderful Content , great delivery and amazing assignment.

By Anshuman K

Jan 10, 2020

Well structured, very well explained ... Excellent course!

By Javier S A

Nov 19, 2019

Really good course to improving my skills in deep learning

By Gustavo d P P

Nov 8, 2019

very good course.

The explanations are in an efficient way!

By Javier F

Nov 7, 2019

Excellent! Very clear course. Congratulations to Prof. Ng!