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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

JN

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I know this is intended for a broad audience, but I found that the assignments were too easy. Not that they are testing easy material, but that the answers are almost stated directly in the questions.

AK

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One of the best courses I have taken so far. The instructor has been very clear and precise throughout the course. The homework section is also designed in such a way that it helps the student learn .

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3126 - 3150 of 10,000 Reviews for Neural Networks and Deep Learning

By Felipe S G

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Sep 8, 2017

muy bueno, didactico, practico y entretenido. Me gusto mucho, me parece muy util para divulgar el conocimiento de Deep Learning en persoans que no tienen tanto background de programacion o de matematicas. felicitaciones!

By Tao H

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Aug 19, 2017

Very helpful for people who has related background but new to deep learning. I have learned not only the the underlying algorithms of deep neural network, but also practical coding skills for implementing deep learning.

By Jeff W

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Feb 24, 2023

The spiral presentation of concepts supported by the well-focused lectures by Andrew Ng and the structured Jupyter notebooks all combine to provide a pretty achievable understanding of neural networks and deep learning.

By Brian J

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Mar 7, 2022

I've been in analytics for 12 years now and have always wanted to understand neural networks. This course has been excellent!! I love the combination of theory, application, and algorithm explanation. Highly recommend.

By Sambhujyoti D

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Oct 6, 2021

The course content provides an In depth knowledge on DL / NN. The programming assignments are arranged strategically to facilitate step by step designing and implementation of NN. Overall it was an excellent experience.

By Hamin Y

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May 17, 2021

It is quite difficult as they require some algebra-related background knowledge to understand and python coding skills. But through assignments, I feel that I am improving and learning how to design deep neural networks

By Amara N

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Apr 22, 2021

The Course is Great. I have learned a lot as a beginner. I think it would be much better if there are descriptive slides for main take-away points and if computerized text/typing is used instead of the pointer to write.

By Didier A

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Jan 29, 2021

Very very well taught progression! It does require to dust off some old calculus and algebra skills, but it is not entirely necessary as everything is very much guided and well explained. I really recommend this course.

By Aaron S F P

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Oct 17, 2020

Un curso muy interesante y detallado. Sin embargo, seria genial llevar este curso con una base previa de Machine Learning, no porque no se entienda sino porque todo ello le dará un sentido mas 'deep' a este genial curso

By Sai C P

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Jul 8, 2020

Contents in this course are awesome. The way Andrew teaches will give in depth understanding of actual operation of neural nets. I enjoyed a lot while figuring out the nuances of neural nets. Thanks Andrew and Coursera.

By Sergio M

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Jun 3, 2020

At first, it pretty much looks like a Linear Algebra, matrices and a bit of Calculus course (not very deep though) but especially in the last week the videos help you make sense of that Math. Thanks professor Andrew Ng!

By harsh g

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May 9, 2020

This course is beginning of neural networks and deep learning .With this course i have learnt about nearal networks forward propagation and backward propagation nd how to implement that in python and predicting an image

By Visalini K

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Feb 11, 2020

The course of damn exciting. All about Neural Networks put together in the proper order and simplified explanation. I admire Prof. Andrew Ng. Though he is an expert, he made it easy even for beginners to love NN and DL!

By Karthi K

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Dec 15, 2019

Had a thorough understanding of how back propagation works and got to know how forward and backward propagation are used to update weights by gradient descent. The best course for starting to learn about neural network!

By Ankit A

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Aug 13, 2019

Earlier I have done this course from youtube.I Just made account and started doing this over again, skipping what i have done already ; ) . I can't get certificate but that's ok. Special thanks for not making this paid.

By Aryan M

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Aug 4, 2019

An exceptional course !!!

Learned to implement neural networks from scratch, not through library like other courses.

Prof. Andrew is an amazing teacher. This course builds a very solid base for any deep learning beginner.

By Pranav G

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Jun 4, 2019

This course is the perfect sequel for the introductory Machine Learning course by Andrew Ng. Although I felt that a little more depth should have been there while explaining the 'cache', I nevertheless loved the course.

By Jayatu S

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Jan 5, 2019

Fantastic course. A must for anybody who wants to develop expertise in NN and DL. While there are great tools like Keras. This course takes you through the inner workings of how DL works. Great job Andrew and your team.

By ALEXIOS L

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Dec 4, 2018

Perfect course for someone who wants to get a good idea of neural networks. The instructor is really good and it is obvious that he has devoted much time to make the assignments such as you can get the most out of them.

By Murray J

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Jun 4, 2018

This course is excellent, very well paced and clearly presented. The lecturer could have gone faster over some parts and a bit slower over others but that is nit picking - overall excellent and very clear descriptions.

By Ankit M

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Nov 2, 2017

This course is very valuable for the Data Science professionals. Every thing in this course is explained in easily understandable from. Thanks professor Adrew for your teachings. I will definitely use it in my projects.

By Daniel D

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Sep 1, 2017

I really liked how the assignments were structured. I helps a lot that all the messy input preprocess is already done. Also, the interviews where very exiting. That is something that I'll like to see even more.

Thanks!

By Carlos H G F

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Oct 15, 2023

I like this course very much. I wanted to remember neural networks and learn deep neural networks. Andrew is a fantastic professor. The content and teaching skills are perfect. Thank you very much for this opportunity.

By Pabitra K M

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Aug 13, 2021

Before this course whenever I heard of neurons my mind jump to biology and make Neural Network too complex to think about. But now I'm clear about neurons in terms of computer science and know how they linked together.

By Santhosh N

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Sep 3, 2020

I particularly liked the way the explanation of forward and back propagation was structured. It was repeated three times (logistic regression, two layer shallow network and the L-layer deep network), which was helpful.