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

4.9
stars
122,116 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

SK

Jul 7, 2021

Very informative course by Andrew Ng and team.Teaches everything from the basics and helps you understand difficult topics (as i thought before taking this course) such as Deep Neural Networks easily.

ZR

Jan 3, 2020

At first, I want to thank the course teacher and all the others for providing us such a wonderful course. The way the professor teaches is really very very helpful. Thank you all again and keep it up.

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2726 - 2750 of 10,000 Reviews for Neural Networks and Deep Learning

By Mina H

•

Oct 1, 2020

A great course with summarized content as possible as it can be and besides containing all that is necessary to learn to be able to build a Neural Network. Thanks to Andrew and all the people working in the deeplearning.ai ^^

Best regards.

By Pavan k v

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Jul 6, 2020

Best course for anybody looking to start their career in Ai. Andrew Ng is a great teacher and I always enjoyed his teaching methods. Complex concepts were explained in a systematic and simple manner. I would highly recommend this course!

By Victor P

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Dec 22, 2019

Great course for understanding the fundamentals of how neural networks work and their possible applications. I was expecting the coding to be harder, but the assigments give you enough information to figure out the solutions. Recommended.

By Moctar D

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Sep 16, 2019

Neat and to the point! This course is well built for any student (beginner or not) to grasp. The steps on building a neural network are so clear and fine tuned. This course helped me get a much more lucid perspective on the field. Cheers!

By Christoph H

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Mar 30, 2019

Course was perfect. Scalable on how deep to dive in. Effort was perfectly estimated. Material could be used on mobile. Interest on further courses is given. The only thing I missed is a script I can later use on get the information again.

By Lim K Z

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Jan 5, 2019

Very detailed and very structured. Easy for students to follow. It would have been even better if we have an opportunity to work on an additional project where there is minimal guidance. I would definitely recommend this to my friends!

By Josh H

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Mar 23, 2018

This is an excellent course. The only reason that I didn't give it five stars is it could have been very beneficial to show more visualizations of the code running in the week 2 assignment. It could have made things much more interesting.

By Hak K C

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Mar 6, 2018

instructions were clear and concise. while assumptions on students' mathematical familiarity was not emphasised, the prompts and guides within the programming assignments were logical and progressive to enable hands-on approach to coding.

By Kashyap G

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Jan 24, 2018

I loved the way course was structured. It wasn't too deep or shallow(no pun intended). Andrew is an amazing teacher and I liked the way he thinks of deep learning. Assignments were great to make you learn in detail. Excellent overall !!!!

By Ashish A

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Dec 26, 2017

This course has strengthen many of my concepts regarding python, neural networks, the math behind back propagation, and deep learning in general. I would highly recommend this course to every ambitious aspiring machine learning engineer.

By Arun Y

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Oct 4, 2017

Its the best course on Deep Learning available on internet to learn from Scratch to advanced level.

The programming assignments are structured excellently & makes the concepts behind neural networks clear.

Thanks to Coursera & Andrew ng Sir

By E P

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Sep 14, 2017

Excellent introduction into the mechanics of neural nets, and deep learning. I am now able to discuss hyper parameters, something before this course I knew zero about. Very happy and looking forward to the rest from Andrew and his team.

By Dongwoo L

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Sep 10, 2017

It is a very good class. However, it may be a little difficult for people who are newing in 'Deep Learning'.

I have been studying for this part a little, and I have come to see this class.

So I felt it is very easy to explain every detail.

By hangtian.jia

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Sep 5, 2017

Very nice course to get start with Deep Learning !

Since Deep Learning is not just about call the APIs of Tensorflow or Keras, you gotta know how they work under these structures.

Very impressive, thanks a lot , Andrew and the whole team !

By Nagaraj N

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Oct 29, 2023

I have a Ph.D. in Physics, and this is my first course on Deep Learning. Prof. Andrew Ng is an incredible teacher who teaches with exceptional clarity! Many thanks to him for making DL so easy and understandable to beginners like myself.

By Dri4n

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Aug 7, 2022

Muy buen curso, la verdad si bien aun no estoy preparado para hacer una red neuronal por mi mismo, si entiendo los conceptos teoricos y a medida de que avanzaba en el curso cada vez se me era mas facil pasar las pruebas. muchas gracias!

By Abdullah E I

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Aug 16, 2020

this class introduces the concepts in Neural Networks in a very practical straight forward approach. There is a lot of effort went into the preparation of this course.

Worth your time and effort if you want to learn NN.

Highly recommended.

By Temurbek R

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Aug 16, 2020

A really good introduction to the world of AI. It hides lots of things like too much math, or numpy details that could have discouraged the ones who are not familiar very quickly from AI. Very well organized in short. Thanks to the team!

By Zhenhan H

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Aug 9, 2020

It is definitely extremely good course for beginners of studying machine learning. I have taken other online courses related to machine learning. Only Andrew's course is very informative and taught in detail. I enjoyed this course a lot.

By Michael I

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Aug 8, 2020

Perfect reference for how the online course format should be. Good content, fundamentals added at the right time, well structured, Andrew's videos were good. The fundamentals of deep learning are grilled into my head through this course.

By Jonathan L K

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Jul 31, 2020

Great course. At some points it struggles to find a balance between high level overview and low-level mathematical detail, but in general it's a great intro to the subject which will serve as a good building block for further self-study!

By Nila S

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May 17, 2020

This has been one of the most amazing learning experiences. Everything was explained wonderfully and is so amazing. I just wish that asking questions could have a better system but that is a coursera issue more than this specific course.

By CHAITANYA K

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May 10, 2020

It was really fun learning with Andrew Ng. Sir your have really cleared many doubts that persisted after ML and AI courses at undergrad level. Thanks for teaching. Really looking forward to complete remaining courses with the same spirit

By Mahesh S P

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Apr 9, 2020

The course is delivered beautifully where you get to know from high-level abstracts of the neural network to low level details of Forward and Backward propagation. I got to know them in a better way and it helps in carrying out research.

By Ruben M

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Mar 26, 2020

Very well thought out course. I really enjoyed taking it. I have programming experience but not quite the mathematical background but during the course I started to learn more and more. I understood most of the concepts after the course.