PG
Feb 7, 2023
An amazing course and gives quite a detailed and beginner-friendly description of deep learning and neural networks. This course helped me immensely in overcoming my intimidation towards these topics.
MH
Jun 29, 2018
Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses
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.