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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

VB

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This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.

MH

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Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses

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5101 - 5125 of 10,000 Reviews for Neural Networks and Deep Learning

By Seif M A M G

Sep 15, 2021

Very simple and well structured course, it's a great mixture between theoretical content and practical content. Really I like it so much ty (Sir, Andrew NG).

By Mohamed R

May 15, 2021

One of the most interesting courses I have ever taken.

A great course to get into the professional field and have an interesting idea about building NN models.

By Jose L G G

May 1, 2021

Excellent course, learn a lot about the algorithms behind neural networks. Love the way professor Andrew Ng explains everything and the assignments are great.

By Yanjiao L

Apr 1, 2021

Very nice course, even the people without any basic knowledge about Machine Learning and Linear Algebra could understand the contents very well. Thanks a lot.

By Utku M T

Mar 17, 2021

It is a very good introductory course that covers the important aspects of applied neural networks. Thanks to everyone who has put an effort into this course.

By Sonu M

Sep 29, 2020

The course content is amazing, it builds your knowledge from basic logistic regression to neural network. Assignments make sure that you write efficient code.

By Andre R

Sep 27, 2020

This course really provides clear explanation of the fundamentals of neural network, along with the coding practice to implement them in Python. Great course!

By Ayaz A

Aug 19, 2020

I plan to complete all 5 courses the first course was pretty basic if you have previous knowledge of the subject like you don't need to watch the videos even.

By Kunal D

Jul 6, 2020

Thanks Sir.Andrew and coursera for giving me the opportunity to learn this course. I liked the content of this course and I enjoyed myself during this course.

By Johan P

Jun 2, 2020

Great introductory course. Heard a lot of terminology flying around at work related to this topic, and many things have now become clearer and more intuitive.

By Girish T

May 12, 2020

Best ever course for Neural Network Basics. Very well explained and proper intutition provided in each video. Well structured and assignments are really good.

By NAGARAJA S U

May 8, 2020

the course contents are very good. the programming exercises help us think and enhance the concepts taught in this course. overall this is an excellent course

By Kristine

May 5, 2020

This was a very helpful and easy to understand course! Really appreciate the efforts of the team in putting this together so that beginners can understand it.

By Siddhant S

Apr 24, 2020

This course follows an outstanding to the point and easy to understand curriculum. If you are a true ML enthusiast and want to go ahead start with this course

By 谢宁翔

Mar 24, 2020

Definitely a wonderful course. Providing all the details I need to know to implement a DNN, but helps to provide other utilities which saves me a lot of time.

By Bobby G P

Feb 18, 2020

It was one of the best course. It has given me boost to complete the remaining courses in deep learning specialization. Thank You coursera and deeplearning.ai

By Siddharth G

Dec 17, 2019

Exactly what I was looking for, This course helped me finally understand what exactly is happening under the hood in Deep learning and helped me implement it.

By Daniel B

Jun 25, 2019

Nice course! Always enjoy Andrew's course. Very nicely and clearly elaborated.

Putting neural network concepts into practice and seeing it do the work is fun!

By Jorge B

Apr 5, 2019

Great course for introducing into neural networks and deep learning. Extremely detailed video lectures and easy to follow instructions during the whole course

By Regi M

Feb 27, 2019

The highlight of the course is the coverage of basic concepts. It motivate students to review these concepts and to understand the working of these algorithms

By Sai V K S

Jan 17, 2019

The notebooks are amazing. The teaching is simple and in depth. The instructor is top class. Overall this course is a must for every deep learning enthusiast.

By Gunarto S N

Dec 5, 2018

Prof. Ng really explains everything clearly and it really helps me to understand the core concept of the deep learning as well as its mathematical foundation.

By MD S I

Nov 20, 2018

Fantastic course !! Please make it free. Add regular practice problems on weekly basis. Arrange competitions regularly on these kind of problems in this site.

By Pablo C E

Aug 15, 2018

Excelente introducion to Deep Learning Networks! Course is carefully well made! Its a privilege to be able to have a course like this available to me! Thanks!

By Sharath K

Aug 13, 2018

This course was excellent in explaining the internal functioning of Neural Networks. I am looking forward to studying the other courses in the specialization.