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.
L
Apr 6, 2019
A bit easy (python wise) but maybe that's just a reflection of personal experience / practice. The contest is easy to digest (week to week) and the intuitions are well thought of in their explanation.
By Muhammad H M
•Apr 2, 2019
One of the best course out there on getting started with all the basic stuff related to Neural Networks and Deep Learning.
By Deleted A
•Feb 26, 2019
essential for Neural Networks and Deep Learning learners.
if you want to know how to make models you must listen this class
By Cajetan R
•Jan 15, 2019
Andrew Ng's course is best to give a kick start to your career in ML and Deep Learning .
He makes your fundamentals right!
By divya p p
•Jan 12, 2019
very clear explanation of concepts and well managed assignments. gives confidence on building multi layer neural networks.
By Hassan K
•Dec 16, 2018
I wish I had access to the Assignments and Quizzes as a free user even if they aren't graded.
BEST COURSE EVER. THANK YOU.
By Rounak P
•Aug 16, 2018
This course goes to great lengths the explaining both the intrusion as well as mathematical background of neural networks.
By Niyas N S
•Jul 7, 2018
This course provide a in depth understanding of deep learning. I recommend this course for all machine learning beginners.
By OutOfBounds 9
•Jun 26, 2018
I enjoyed it a lot , most importantly the intuitions make things easier to understand and you get a feel for the subject .
By Stephen H
•May 6, 2018
This course was excellent. It included the clearest explanations and worked examples I have come across for deep learning.
By Furkan K
•Apr 17, 2018
Andrew and his team did it again! Everything is laid out so well, it is intuitive and I've learned so much in this course!
By Ivo C P
•Apr 10, 2018
Useful and interesting course.
The basic principles are well introduced and described.
The assignments are well structured.
By Jie M
•Apr 6, 2018
1.利用python实现了多层的standard NN。实现了cat 的识别。
2.对比了两层和多层的识别效果。
3.从单个logistic regression单元讲起,由浅入深!
但是我想利用编写好的代码在别的数据集上进行训练,如何更改数据集呢?
By Atul D
•Dec 26, 2017
A great step by step learning experience, however, I would like to see a little less hand-holding to complete assignments.
By 吴俊楠
•Dec 20, 2017
The assignments in the course are well-designed. Learners can get through the course without too much specific background.
By Robin S
•Dec 11, 2017
Brilliant. Deep explanations to help learners grasp the complexities of neural networks from the foundation up. Thank you.
By M K
•Dec 5, 2017
The videos are very detailed, the homework tasks cover all the necessary steps of training neural nets. Loved this course!
By Prasanna K
•Nov 25, 2017
Awesome course. Videos, Notes and Assignments really solves the purpose. Looking forward to do more courses from the team.
By Giulio T
•Nov 1, 2017
Great insight into the topic. Andrew is every time super-clear. I'm looking forward to see the rest of the specialization!
By Ted T
•Oct 6, 2017
Thank you! Andrew, I love this course so much especially its offering easy-to-follow explanation on all important details.
By David.Li
•Sep 12, 2017
a good start! very helpful to grain a overview the deeplearning algothim, know it's basic idea, and how it doing wthe real
By Gregor v B
•Sep 9, 2017
The exams were perfect to implement the basics learned during the course. Very much like how Andrew explains the material.
By Andrew B
•Sep 4, 2017
Hands on instruction on this extremely powerful nascent technology is priceless. And auditing the course is free, no less!
By Madhav P R
•Aug 21, 2017
Amazing as always. But please correct all the typos in the notebooks (especially the ones related to backward propagation)
By Pratham S
•Sep 4, 2023
Great introductory course to deep neural networks. Best part is the hands on excersise to code the algoriths on your own.
By amirsepehr a
•Oct 23, 2022
very deep understanding of how deep neural networks initially work were given. the problem and the solutions were clear.