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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

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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

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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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3126 - 3150 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Tyler R

May 6, 2020

Great content and definitely does well filling in the gaps.

By karumuri s

Apr 28, 2020

I liked the way sir teaches in a easy and understanding way

By Name N

Apr 17, 2020

I learned many knowdge from this course, thank you so much.

By Hyung-Chun L

Mar 10, 2020

I have learned a lot about Deep Neural Networks. Thank You.

By 羅翊誠

Feb 18, 2020

good experience of DL! Lots of practical practice to learn!

By Thomas M

Nov 8, 2019

Andrew does a fantastic job.

I highly recommend this course.

By Yuhang L

Jul 14, 2019

Very useful. Course materials are clear and well organized.

By Tryggvi E

Jul 7, 2019

Flat-out five stars, this is a fantastically useful course.

By Dien-Lin T

Jun 15, 2019

The explanation of the concepts is very easy to understand.

By Sheelkant Y

Apr 12, 2019

Awesome course with amazing content. Very good assignments.

By Julian L

Mar 2, 2019

Muy bueno en la forma que se explica los conceptos. Gracias

By Minhao Z

Feb 9, 2019

This course is extremely helpful to real-world NN projects.

By 志超杨

Dec 22, 2018

很棒:有理论、有实践。

再一次感受学习的魅力。

感谢吴恩达老师以及你们的团队。

也许,你真的帮助我改变了命运。

谢谢你。

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