Chevron Left
Back to Neural Networks and Deep Learning

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.

Filter by:

4651 - 4675 of 10,000 Reviews for Neural Networks and Deep Learning

By Abdelrahman A

•

Dec 25, 2019

it is very good course to start learning neural networks and it gives me a lot of skills such as logistic regression and numpy , build neural network so i recommended it

By Alejandro F

•

Dec 19, 2019

El instructor de este curso te explica claramente todo los fundamentos teóricos del mismo. Al realizar la practica es muy sencillo seguir los pasos que ahí se te indican.

By Sahan P

•

Nov 21, 2019

Great Course to get a much deeper understanding of how neural networks work and the Math behind it. Recommend for people who are keen to learn how things work internally.

By Xiaolong L

•

Jul 8, 2019

This is an amazing introduction to neural network, the programming assignment is awesome, I can say that I am able to build a neural network after complete the assignment

By XIAOSHAN L

•

May 29, 2019

It is helpful for me to understand the basic idea of neural network. However, it is better to give us more difficult programming homework to impress us more thoughtfully.

By Abhishek M

•

May 20, 2019

Gave a clear cut explanation about what lies behind the computations of Neural Networks.The sequence of videos will give you clarity about the back-propagation algorithm.

By Ruoqi Z

•

Apr 10, 2019

Best course I ever took in Coursera!!!

The lectures are interesting and well prepared and assignments have clear objection and well commented!

Everything is quite clear!

By Sumit S

•

Mar 3, 2019

This course clarifies a lot of myths i had about neural networks. It is very intuitively explained, especially the explanation of neural networks via logistic regression.

By Alicia K

•

Nov 4, 2018

Excellent course! I highly recommend it! Andrew Ng got me up to date on my linear algebra (the basics), and provided a fantastic and intuitive overview of the technology.

By Taran R

•

Sep 15, 2018

everything was really good ,but for me a good explanation of assignment on how it works(just to verify the content) after we finish completing it will make it even better

By Ugur Y

•

Aug 29, 2018

I downloaded the videos to my tablet, however when I finished these videos offline, the system showed me I am not finished. It is a big problem, other things was perfect.

By Yan-Jen H

•

Aug 20, 2018

Great course, Prof. Ng explains many intuitions, also these exercises are very helpful.

And, I am really enjoy watching these interviews, many useful advices and thoughts.

By chirspolo

•

Aug 12, 2018

The cousera is great, which is suitable for the beginner of machine learning.I can't wait to watch all the videos, Hope i can do the great work like the Great forerunner

By Md Z S

•

Apr 19, 2018

Quite happy with the maths described in the course. Great Introduction. Looking for more materials to study maths behind the forward propagation and backward propagation.

By Stephen M

•

Mar 17, 2018

Andrew NG is always great. The course is structured very well - They're hard enough to be challenging (occasionally making you think for a day) but so hard that you quit.

By Sayan S

•

Mar 16, 2018

Great! Prof Andrew Ng was excellent in explaining the mathematical logic. Being new to Python, it took me lot of effort to get even the simple syntax correct sometimes.

By Bhavul G

•

Mar 10, 2018

Brilliant way to get started on deep learning and especially understand backprop and gradient descent for deep networks in a very intuitive and natural way. Thanks a lot!

By Yash k

•

Jan 28, 2018

This course is fantastic and programming assignments were easy (if you get stuck just look in the forum) even for somebody like me who has no experience coding in python.

By Rob W

•

Nov 28, 2017

There is not much (if any) new material or theory beyond the Stanford course, but I found the python implementations much simpler and more useful than the Matlab versions

By Quan T T J

•

Nov 19, 2017

This courses is a great course on Deep Learning. You will learn many technique such as vectorization to make data go faster in learning process instead of using for loop.

By srikanth K

•

Sep 16, 2017

This course is a must for anyone who want to understand and develop a career in neural networks. Back propagation algorithm is explained in very simple and effective way.

By anil m

•

Sep 11, 2017

Very good explanations especially for the derivative intuition and chain rules explanations which makes my life easy in understanding back propagation. Thank you so much.

By Chris U

•

Sep 7, 2017

Very thorough and easy to understand. Although some of the material seems redundant, it is slightly different and necessary to understand how to implement deep learning.

By PeiDa K

•

Aug 24, 2017

Very well organized course materials. Assignments are provided with appropriate support (instructions and test cases). Some quiz questions could be worded more clearly.

By pritam v

•

Aug 18, 2017

The Vectorization part is quite unique to this course .. clears a lot of confusion and encourages us to think with that mindset elsewhere even during the implementation .