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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

AA

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Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

AM

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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

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3126 - 3150 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Henry D

Jun 24, 2020

I like how Andrew Ng explained. Very concisely but clearly.

By Aritra G

Jun 13, 2020

It was Great!!! And Andrew teaching it makes it even better

By Rishav K

May 23, 2020

Amazing extension of the previous course on Neural networks

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