OO
Oct 20, 2017
Andrew Ng's presenting style is excellent. Makes the course easy to follow as it gradually moves from the basics to more advanced topics, building gradually. Very good starter course on deep learning.
AG
May 31, 2020
It's really quite an amazing course where we get to learn the mathematics behind the Neural Networks. It is great to learn such core basics which will help us further in developing our own algorithms.
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 27, 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.
By Vishal K
•Jan 24, 2019
Highly recommended !!
This course will actually make you understand the working of a logistic/neural net. The coding exercises are challenging and will ensure firm grasp in NN once completed independently.
By rajeev g
•Jul 12, 2018
Really awesome and good for learning concepts related to neural networking and deep learning. Assignments will help us to understand more and more their applications and possible use cases for industries.
By Prem S
•Jul 8, 2018
Well Structured and designed to make students understand. Programming exercises were well guided and helped to re-inforce our learning. Thanks to Andrew and team to help us open our eyes to Deep Learning.
By John H
•Dec 5, 2017
Clear and structured approach to NN's. I enjoyed the building of intuitions around gradients, and feel I've gained a much clearer understanding of the basics. Excited for the rest of the specialization!
By Miguel L
•Sep 20, 2017
Instructor was easy to follow, course material was fairly easy to pick up, and assignments were well guided. It definitely would help to have previous exposure to neural networks before taking it, though.
By Tlakaelel A
•Mar 29, 2021
This course provided me the basis of neural networks. It has been a pleasure be guided by Andrew. Highly recommended if you are interested in acquire skills that introduce you into Deep Learning's world.
By Rahul S
•Jan 25, 2021
Great Course for anyone wanting to get started with Deep Learning. The course content is amazing and the Programming Lab really helps. Thanks, Andrew and Team for making this course so much fun to learn.
By Ronil C
•Jan 24, 2021
A perfectly designed course. Starting with the basic building blocks of neural networks and progressing thoroughly into its details. This is the course anyone looking for getting into AI must start with.
By Xavi G
•Jan 12, 2021
Very well explained, for those familiar with calculus demonstrations are presented as optional videos. This is my first ML course and I think the approach is perfect for engineers who are beginners in ML
By MOHAMMED A E M
•Oct 4, 2020
I really enjoyed taking this course, it is really well explained and detailed. This course helped me understand the basics of machine learning and neural network, and practice those subject with example.
By Frantisek H
•Sep 4, 2020
Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.