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

4.9
stars
122,502 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

NL

Oct 3, 2020

This course helps me to understand the basic concept of Deep Learning. However I think this course should include at least 1 week (or 2-3 videos) about math so learners can have a better understanding

MG

Jul 28, 2020

Pretty well organized with really helpful examples and assignment especially. Definitely made the basis for deep learning algorithms. Looking forward to the next modules and dive deep in this domain.

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5226 - 5250 of 10,000 Reviews for Neural Networks and Deep Learning

By Jonathan S

Sep 16, 2019

I find this topic very exciting and interesting and I felt that the course did a great job explaining it in a real and practical way. Keep up the good work!

By daniel d

Sep 4, 2019

Great course, I can check if a picture is a cat or not so easy, the implementation was a kind of a lot of things but in the practice step by step was great.

By Bach T T

Jan 29, 2019

It's great because I can build an artificial neural network to classify photos. I will have to practice more to get more experience with it. Thanks coursera

By SURAJ T

Nov 20, 2018

The course was really very intuitive about neural networks and their application. However I'm still confused with the formulas used in backward propagation.

By Harold M

Oct 20, 2018

An Excellent and a complete course on Neural Networks and Deep Learning. The math in this course is very interesting and the professor is awesome!

Thank you!

By Raghuvansh R

Sep 22, 2018

I really loved this course. Course structure is well organized along with the programming assignment help us to gain much intuition of the theoretical part.

By roshan h

Jun 27, 2018

Its a great foundational course to head start deep learning in python. Covers everything and most notably its practical and applied rather than just theory.

By Cardale G

Jun 4, 2018

Really great course. Even if you have taken other courses for neural networks I still think you would get something out of it as I have. Thanks Andrew Ng.

By Huong H

May 26, 2018

The course is awesome! The lectures, quizzes, and assignments are really good in helping me to get first understanding on neural networks and deep learning.

By Ravi J

Feb 10, 2018

It was a very amazing course and the programming assignments added a lot to the theoretical knowledge. it was just an amazing experience learning andrew ng.

By Shreyas

Dec 10, 2017

Brilliant. As usual, Prof. Ng is outstanding and teaches things from first principles that makes sure you are conceptually clear on whatever that is taught.

By Alexandra L

Nov 29, 2017

Well structured and explained. I had to learn Python as well, but I could manage both.

Practical examples helped me to understand better how to apply theory.

By Sriram K

Oct 4, 2017

This is my first course in machine learning. Professor Andrew is brilliant. The assignments were well structured and helpful in understanding core concepts.

By Chihao L

Oct 4, 2017

better designed for those without prior neural network math ground. programming assignment is also well crafted to balance the practice vs 'achievability'.

By Tan S P

Sep 13, 2017

This is a nice introduction to Deep Learning. But you have to be good at Python and some of its libraries (mostly numpy) to finish the programming projects.

By Xingyu Z

Sep 9, 2017

The Best deep learning course ever! consistent maths notations makes the material easy to follow and great knowledge checking exercises follows each course.

By Mehul A

Jun 17, 2023

quiz question are way too easy and assignments basically spoonfeed you everything so there isn't much challenge. Otherwise, great instructor and curriculum

By Ginger d R

Apr 18, 2023

As is true of all of Andrew's other courses, fantastic. Just finished a DS bootcamp and this course was my more interesting than anything I learned there:)

By Jathin S

Apr 17, 2022

I've always been confused with forward and backward propagations. Thanks to this course, now I can implement my algorithms more precisely and confidently.

By Sidra N

Oct 17, 2021

i really enjoyed this course whilst learning depths and details of neural networks. This course s a great source to boost your knowledge of deep learning.

By Edwin C L

Aug 9, 2021

This course offers an excellent balance between practical skills and strong mathematical foundations to get started in Neural Networks! Highly recommended.

By Khaled S

Apr 25, 2021

A very important course, I benefited a lot from it. The explanation was interesting and detailed. I can now say that I have a strong rule in deep learning.

By Mohammad J “ S

Mar 28, 2021

Taking this course helped me learn the fundamentals of neural networks, compare their performances with logistic regression, and develop them from scratch.

By Vishvdeep D

Mar 22, 2021

Deep dive into mathematics and the how neural networks work underneath of frame work.

What the math is behind all of these fancy deep learning's terminology

By Fabian P C

Mar 5, 2021

The results of the functions in week 4 didn't match 100% with the given results even though my functions were correctly. Maybe you can take a look into it.