Chevron Left
Back to Neural Networks and Deep Learning

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

SS

Invalid date

Fantastic introduction to deep NNs starting from the shallow case of logistic regression and generalizing across multiple layers. The material is very well structured and Dr. Ng is an amazing teacher.

SV

Invalid date

Nothing can get better than this course from Professor Andrew Ng. A must for every Data science enthusiast. Gets you up to speed right from the fundamentals. Thanks a lot for Prof Andrew and his team.

Filter by:

2326 - 2350 of 10,000 Reviews for Neural Networks and Deep Learning

By Niklas T

•

May 22, 2020

I loved the Neural Networks and Deep Learning course. Andrew Ng is an awesome teacher and it is so simple and enjoyable to follow his explanations. With the theory and programming exercises combined, I am now able to build my own simple Neural Nets in Python.

By Zhuoying Z

•

Feb 20, 2020

Very great course! Prof. Andrew Ng explains complex concepts in an easy-understanding way, it is good for CS students without any deep learning background. And the programming homework are well designed to let me get deeper understanding. Thank you very much!

By Sayan R

•

Jan 10, 2020

Nice course for beginning deep learning. The only negative point of the course is it does not say anything about how to process the data from data-sets. Maybe a little introduction to how to preprocess data or how to handle data from data-sets will be helpful

By Anindya M

•

Jul 23, 2019

Really great course. It follows a bottom up approach to understand deep learning concepts. One suggestion for improvement would be to give additional resource links corresponding to learning of every video if someone wants to delve deeper into those concepts.

By Tan B

•

Feb 12, 2019

Extremely good basic about deep learning as well as the implementation in Python. The last assignment was quite challenging and took time for me to digest all the codes. Recommended to do with friends and it is better if you have good Python Skills beforehand

By MR R

•

Nov 8, 2018

Fantastic Intro Class. For a newbie in DL, all you need to come in with is some Python and High school Math basics and Prof. Ng will take you further. It requires some careful thought and work to internalize the depth and inner workings of DL. Very enjoyable.

By Sathvik C

•

Jul 28, 2018

I really liked this course. Used it as an introduction into Neural Networks, something that I am very interested in. Helped me understand what is happening behind the scenes, and it was very cool to make my own programs utilizing what I learned in the course.

By Deepak S

•

Apr 17, 2018

I am a beginner in the field of Deep Learning and this course is structured and informative in the field and the assignments are intuitive and takes a modular approach to build a L-layered NN from scratch which gave me a better understanding of how a NN works

By Hans E

•

Feb 18, 2018

Great material, well explained. The programming exercises are really a good way to get a good grasp of all concepts. It is also a nice way to get started with Python/NumPy.

This course is easy to follow if you have followed the Machine Learning course before.

By Pankaj K J

•

Oct 28, 2017

I just watched the videos and I must thank Dr. Ng for the great work. This course is must watch for people who are or intend to use deep learning to solve data science problem to understand the logic of deep learnings. Looking forward to next course in series

By Hamza A

•

Jul 3, 2023

I loved this course. The lectures helped me understand the mathematical logic behind neural networks models. I'm extremely grateful I got to take this course. This course is most helpful for understanding to form better mental models with vectors especially.

By Ujjwal K

•

Jan 27, 2022

This is really an amazing introduction course to Neural Networks and Deep Learning. Vectorization approach has been discussed pretty systematically, thereby making it very easy to understand. The coding exercises helps learn the concepts discussed very well.

By Vishal G r

•

Aug 30, 2021

It's an amazing course, the concepts are explained in a very lucid manner and I was hooked to the content from the first day itself. The material presented was really easy to understand and the entire course was driven by hands on coding the neural networks.

By Yash K P

•

Apr 17, 2021

Probably the best course for deep learning and I can definitely say that I have better intuitions now about the working of neural networks. Andrew Ng is the best teacher, Huge Respect. Thank you coursera for enhancing my knowledge with these type of courses.

By Ram N T

•

Feb 22, 2021

This course is tremendously awesome. There's a lot to learn about the Neural network and deep learning. This course also improves my general understanding of mathematics regarding differentiation and vectorization, which I never thought gonna use in my life.

By erfan m

•

Feb 1, 2021

well i have studied about neural networks before but in this course i have learned how does it actually works and how to implement it without using sickit learn library. it was a really good and enjoyable experience and I am really happy to participate in it

By Oscar H R A

•

Nov 24, 2020

This is a unique and exceptional course. It has guided me step by step, from understanding the very basics up to build a deep Neuronal Network. It is remarkable, totally worth doing it. I 100% recommend people interested in this field to take up this course!

By Okta F S

•

Jul 10, 2020

This is very good course. By taking this course, I can get the fundamental concept of building deep learning model. The most interesting part of this course is where you can learn the concept from mathematical aspect and start to code it using vectorization.

By Peyman A

•

Feb 28, 2020

The concepts and cases in teaching are very good and they're taught very well but I think if programming assignments are not wrote before and student complete it, it's better. I think if all of the concepts will be done by student, it will have better result

By Luigi B

•

Feb 16, 2020

Very well organised, this course is an excellent learning opportunity, with very clear explanations and a step-by-step approach whch guides you though the actual implementations of algorithms. I also very much enjoiyed the interviews with experts. Great job!

By Mikhail F

•

Sep 25, 2019

Quite enjoyed it. Would appreciated more difficult programming assignment because the current one could be easily solved simply by following the function signatures, thus depriving you of the necessity to re-read the material and thus solidify one's learning

By JJ H

•

Jul 19, 2019

This course was amazing for teaching the fundamental math (which is mainly linear algebra and calculus) behind the functionality of neural networks. The math and symbols are a bit complicated at first, but you get accustomed to them as the course progresses.

By joangenis V A

•

Mar 22, 2019

Perfect mix of theory videos and practice programming. Perfect for all levels. It has helped me a lot to understand the nature of Neural Networks and Deep learning from both a mathematical and programatical perspective, getting the maximum insight out of it.

By Stan Y

•

Jan 25, 2019

Great explanations with updated content compared to the earlier Machine Learning course. New programming assignments are wonderfully clear and lead you through building a working Deep Learning image classifier with very little struggle. Highly recommended.

By Amit P

•

Dec 31, 2018

After finishing the Machine Learning Course by Andrew Ng, I just had to do this 5-course specialization and it didnt disappoint. In depth explanation of the 'intuitions/ concepts' to make sure you understand what is going on and why it works the way it does.