GC
May 30, 2019
I have learnt a lot of tricks with numpy and I believe I have a better understanding of what a NN does. Now it does not look like a black box anymore. I look forward to see what's in the next courses!
AT
Jun 29, 2020
I think that this course went a little bit too much into needy greedy details of the math behind deep neural networks, but overall I think that it is a great place to start a journey in deep learning!
By anugya s
•Apr 25, 2020
I loved how the whole implementation was from scratch not using libraries. Now I will remember the hidden concepts always.
By ViswaTej Y
•Apr 22, 2020
Excellent way of explaining, having everything beautifully organised and making it highly interesting for all the students
By Simon D
•Apr 13, 2020
Intuitive and applicative way to implement Neural Networks. You really get to undertsand the mechanics behind building NN.
By Akshay V
•Mar 29, 2020
Great Course! I learned a lot about vectorization,broadcasting, neural networks basics etc. Thanks Andrew Ng and Coursera.
By Mehl C (
•Mar 25, 2020
Amazing teaching by Prof Ng. I strongly recommend this MOOC for anyone interested in acquiring knowledge on Deep Learning.
By Stefan W
•Jan 27, 2020
Great Course! Only the programming assignments could maybe be a bit more challenging, i.e. especially less pre-structured.
By Filippo L
•Jan 4, 2020
Great Course, gives useful insights on Neural Networks and guides along the way to develop algorithms for computer vision.
By Mansoor R K
•Nov 28, 2019
One of the most in-depth courses for Deep Learning. Highly recommended for anyone looking to begin a career in this field.
By Marcus V C A
•Nov 19, 2019
It's a very good course. I think it give us some insights and some mathematical background to go deep in deep learning! :)
By jiangjingwen
•Nov 13, 2019
I have learned the basic knowledge of the Neural Networks and Deep Learning.
I will recommend this course to my classmates.
By yegna s
•Aug 9, 2019
Just follow the course and it will walk you through all the concepts from rudiments and provide you the necessary insight.
By Gajula J
•Apr 7, 2019
Best course for getting started with deep learning on internet. Thank you coursera and teachers for creating the best one.
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.