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Learner Reviews & Feedback for Neural Networks and Deep Learning by DeepLearning.AI

4.9
stars
121,644 ratings

About the Course

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. 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

PG

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An amazing course and gives quite a detailed and beginner-friendly description of deep learning and neural networks. This course helped me immensely in overcoming my intimidation towards these topics.

RG

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I have learned a lot from this detailed and well-structured course. Programing assignments were very sophisticatedly designed. It was challenging, fun, and most importantly it delivered what is aimed.

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9926 - 9950 of 10,000 Reviews for Neural Networks and Deep Learning

By Afaq A

Oct 27, 2018

Perfect course for learning from basics and hard coded concepts of neural networks

By Serdar K (

Sep 25, 2018

where nice to understand the basic concepts with hands on solving example problems

By Sarthak G

Sep 9, 2018

If you liked Andrew Ng's original Machine Learning course, you will like this too.

By Da L

Jun 30, 2018

Excellent course! However, the jupyter notebook usually fails with a kernel error.

By Caique D S C

Jun 27, 2018

Very clear content and well explained by Andrew Ng.I really recommend this course.

By Shirag B

Jun 4, 2018

Learned a lot of new concepts, very clearly explained, definitely recommended imo.

By herve b

May 9, 2018

Très bon cours pour avoir une introduction au Machine Learning et au Deep Learning

By seyed N

Apr 28, 2018

Everything is really cool and in depth technical, I really recommend this course .

By Ramesh V

Mar 18, 2018

Superlative, Dr Ng is a great instructor with a focus on ensuring implementability

By 丁天骜

Mar 15, 2018

很喜欢吴恩达老师的风格,课程设置很好,编程作业难度适中,将大问题拆解成小问题,增加我们初学者的信心!感谢Coursera给我助学金,让我能够听到这么好的课程,谢谢!

By Mohit A

Feb 23, 2018

This is a very good course for anyone who want to learn Deep Learning from basics!

By Francesco N

Jan 27, 2018

Great course if taken after the first one on Machine Learning (always from Andrew)

By Sulabh S

Jan 23, 2018

Building a Fully Connected Neural Network from scratch was excellent way to learn.

By Rui N

Jan 18, 2018

This is an awesome course, just the right amount of theory and enough application!

By Ha D H

Dec 8, 2017

This is a good point to start deep learning. Thanks a lot for a great instruction.

By Huy V

Dec 3, 2017

Andrew Ng is absolutely the best teacher out there when it comes to Deep Learning!

By 赖煜庭

Oct 4, 2017

Very good course, let me learn a lot of deep learning and neural network knowledge

By Octavia E

Oct 2, 2017

This is by far the most didactic treatment of neural networks I have seen to date.

By Jean-Baptiste R

Sep 22, 2017

This is a nice refresher of the neural network part of the Machine Leaning course.

By Glushko O V

Sep 19, 2017

One of the best courses I've ever seen. Very simple but the same time very useful.

By Nikhil k

Sep 9, 2017

Take this course if you really want to get serious about this subject. Excellent !

By Qi-qi Z

Sep 7, 2017

Very nice course for deep learning beginner and it's cool for Pyhton programming.

By Jiten R

Sep 3, 2017

Extremely useful. Very good mix of theory and practice.

Thanks Prof Andrew and Team

By Pachi C

Aug 27, 2017

Fantastic course. Very easy and clear explanations about a difficult area of study

By Szymon W

Sep 12, 2024

I love how you provide not only how to use it but how it works in the background!