YM
Dec 18, 2018
The best and simplest neural network course i have come across. Andrew Ng makes the mathematical concepts subtle and understandle. Neural network for me is no longer a black box.Thank you Andrew Ng
SA
Jan 24, 2021
Lot of courses teach theory and uses python in built libraries. This is the only course learners are encourage to built the algorithm from scratch to gain more understanding of things under the hood.
By Goutham p
•Sep 2, 2019
This course helped me unfold the Deep learning Blackbox for me.
I would like to thank the mentor and the organiser for structuring the course in a way where we can get a descent understanding of the basics.
By Arnab J
•Jun 4, 2019
the code in the programming assignments needs to be explained more thoroughly , if in the video not only the forward and backpropagation part but also few other parts are explained it will be more helpful.
By Rupinder N
•May 29, 2019
An excellent introduction to deep learning. Only feedback is that the derivation of the math behind the backpropagation equations was not shown for people wanting to understand how the formulas came about.
By Ravi K
•May 15, 2019
After this I am a great fan of Andrew Ng. I mean the simplicity he has used to explain nn and deep learning is legendary. Assignment and Quizes were well suited for testing the understanding from lectures.
By Yunya G
•May 12, 2019
Andrew made this basic but very important knowledge much easier to understand. The python practice part is also very helpful. It rechecked the parts I didn't really understand after the lecture. Do thanks.
By Vahe V
•Apr 13, 2019
I read a lot about NN. With this course, I got to see/do the implementation of it with bare bone structure, which absolutely solidified my knowledge and gave me a much better understanding of fundamentals.
By Afonso D
•Mar 24, 2019
Um curso que vai além do convencional que é mostrado em abundância na internet. A visão vetorial das redes neurais é fundamental para se adquirir ainda mais insights sobre o comportamento desta ferramenta.
By Ritaprava D
•Jan 29, 2019
Excellent course if you are interested to understand how things work at very low level. Clear explanation of the algorithm rather than just programming with some high level framework, makes it interesting.
By Manuel H C B D
•Nov 13, 2018
This is a beginner's guide to neural network and deep learning, with excellent build up of exercises. Don't let the math scare you as you will have time to deal with it later when building your own models.
By Kullawat C
•Sep 28, 2018
very impressive on explanation and mathematical background intuitions, step-by-step python notebook is easy to follow and codes are easy to read as most variables are named to be matched with the equation.
By Darshan
•Jun 2, 2018
The course was well organized and the concepts was very clearly explained. The subject matter was very relevant and there was enough information presented to understand the topic without too much overload.
By Farzeen H
•Jan 9, 2018
Excellent for beginners (in all sense). Even if you are a novice in python, Deep Learning, AI or/ and vectorization, this course has got them covered. All you need is little determination and little logic.
By Bruce D
•Dec 1, 2017
Great introduction: an intuitive approach to solving a whole new class of problems using neural networks; these are problems that would be very difficult to solve using conventional programming techniques.
By Anukarsh S
•Oct 21, 2017
A must take course for everyone who is aspiring to make a career in deep learning. Dr. Ng's explanation is lucid enough for even a beginner to understand machine learning terms.Overall, an amazing course!
By Franklin W
•Aug 22, 2017
A great starter with Deep Learning, at the end of the course you will have the know how and insights to start implementing DL in the real world. Looking forward to the other courses in this Specialization!
By Ratnesh K
•Sep 15, 2022
I liked the course contents and the presentation. It helped me to understand deep learning in depth with mathematical approach without any issue. I am looking forward learning the other courses as well.
By Tran Q T
•Aug 26, 2021
No pain no gain. I earn a lot knowledge about this course, define, foundation. 1 more plus point for this course is use python 3 for the programing, it is suitable for who already learning python like me.
By David M
•Jun 25, 2021
Get ready for matrix algebra... you need to really keep track of each step. Very doable and you will actually know what a neural network is doing! Also, you will find out why we call it "Deep" learning :)
By Wayne S
•Apr 25, 2021
Andrew is awesome! He led me through every aspect of a Neural Network and showed the math in it very clear. It should be quite hard and boring, but Andrew has made them easy to understand and interesting.
By Anna
•Oct 29, 2020
Such an intuitive way to learn and Andrew is so good at making sure the course doesn't scare people with little ML background. I feel empowered to learn more :) Thanks to everyone for such a great course!
By Ahsan k
•Oct 19, 2020
Its a great oppurtunity to learn from the brilliant minds. The approach of how the teacher takes you all along from start to finish is the key to the success of every individual!!
Thank you for everything!
By Emil B
•Jul 27, 2020
I thought this was a great start into Deep Learning. It takes a step by step approach to learn the building blocks into Neural Networks, then finally putting the blocks together to make a learning model.
By waqasaps@hotmail.com
•Apr 25, 2020
This course focus on the basic foundations required to excel in neural networks. It also has interesting projects that will give you hand on experience on how to build your own neural network from scratch
By Vatsal T
•Dec 6, 2019
Content delivery by Andrew was perhaps the best I have come across from various courses I have attended. He has made an effort to explain slightest of the information. Worth spending your time and energy.
By Jagadeesh R
•Sep 4, 2019
Great course - simple explanation - on using vectorisation and explanation on python broadcasting. Inspiring interviews for AI research esp on the GAN and AI capsule in the context of memory and learning.