The course is really good. The videos are clear, very well explained and the practical activities are perfectly organized!

I loved how the whole implementation was from scratch not using libraries. Now I will remember the hidden concepts always.

Excellent way of explaining, having everything beautifully organised and making it highly interesting for all the students

Intuitive and applicative way to implement Neural Networks. You really get to undertsand the mechanics behind building NN.

Great Course! I learned a lot about vectorization,broadcasting, neural networks basics etc. Thanks Andrew Ng and Coursera.

Amazing teaching by Prof Ng. I strongly recommend this MOOC for anyone interested in acquiring knowledge on Deep Learning.

Great Course! Only the programming assignments could maybe be a bit more challenging, i.e. especially less pre-structured.

Great Course, gives useful insights on Neural Networks and guides along the way to develop algorithms for computer vision.

One of the most in-depth courses for Deep Learning. Highly recommended for anyone looking to begin a career in this field.

It's a very good course. I think it give us some insights and some mathematical background to go deep in deep learning! :)

I have learned the basic knowledge of the Neural Networks and Deep Learning.

I will recommend this course to my classmates.

Just follow the course and it will walk you through all the concepts from rudiments and provide you the necessary insight.

Best course for getting started with deep learning on internet. Thank you coursera and teachers for creating the best one.

One of the best course out there on getting started with all the basic stuff related to Neural Networks and Deep Learning.

essential for Neural Networks and Deep Learning learners.

if you want to know how to make models you must listen this class

Andrew Ng's course is best to give a kick start to your career in ML and Deep Learning .

He makes your fundamentals right!

very clear explanation of concepts and well managed assignments. gives confidence on building multi layer neural networks.

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.

This course goes to great lengths the explaining both the intrusion as well as mathematical background of neural networks.

This course provide a in depth understanding of deep learning. I recommend this course for all machine learning beginners.

I enjoyed it a lot , most importantly the intuitions make things easier to understand and you get a feel for the subject .

This course was excellent. It included the clearest explanations and worked examples I have come across for deep learning.

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!

Useful and interesting course.

The basic principles are well introduced and described.

The assignments are well structured.

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？