Great course for learning Deep Learning and Neural Network calculations, practicing and classifying images. Prior knowledge of Python, Calculus and ML will be helpful for learning from the course better.

Despite the low video and sound quality, this is very informative and one of the best courses for deep learning. After completing this course I am feeling very confident in implementing ANN from scratch.

if you are looking to deep dive into neural networks,to get that hands on experience, this is the perfect starter course . It teaches core concepts like back-propagation in a very simple schematic manner

Excellent !

even for a non-expert of deep learning and data science the course is realy clear and easy to understand !

I really recommend this course for every one who want to improove their skill's in DL.

Without using any external libraries and implementing Neural Network from the base is something which was interesting!. Loved the course. And obviously I may need to revise what I studied in this course.

This course provides basics of neural networks and deep neural networks which are taught in an easy and understandable way. This course also gave me motivation to pursue deep learning, Thank you Coursera

the explanation of Andrew is very nice.He explains every concept in such a manner that every one gets an intuition and concept very easy.the programming assessments are very nice. Overall I'm satisfied.

Andrew is an amazing teacher, the theory is very detailed and well explained (even for a non-expert in calculus) and the programming exercises are really interesting ! Thank you for sharing this program.

This course is extremely well designed for those who want to get intuition on how neural networks and also the code for it. The programming assignment help a lot and help in designing model from scratch.

Excellent course that allows you to understand the implementation details of a DNN. I fully recommend even if you are using DNN tools such as with TensorFlow. The gain knowledge will really help you out.

Everything was awesome! The order of contents to be taught was organized in the best way it could. The algebra behind Neural Networks was greatly conveyed. Perfect in every way! Thanks to the instructor.

Contents is easy to catch up with and the assignments are all well designed. However, it will be perfect if there are more details regarding the feedback of assignment, especially when there is an error.

This is an exceptional course for someone who wants to get started in Deep Learning. In this course, the content is properly ordered and one could see things happening through the programming assignment.

This course really does a phenomenal job of demystifying the details of deep learning. The assignments go into details of the steps involved in building a deep neural network. Kudos to the Coursera team!

A well-structured course which gives a good understanding of Deep Learning using Python programming. But this was a little bit on the easier side if one has already completed the Machine Learning course.

Took this course at the same time as a university machine learning semester long course. Turns out the university course was the supplement material as this course focuses on extremely relevant material.

Thanks Andrew, so many time i start to learn deep learning, but cannot continue, after listen Andrew's video and step by step do the programming, I get the real understaning of deep learning. Appreciate!

It is a very great course, for the introduction of deep learning. The teacher explains step by step how to build a simple neural network, and often comes back to some points for a better understanding.

This course is a good explanation of what is neural network and the basics of deep learning that is easy to understand. In my opinion, this course is a good way to help me get started with deep learning.

thorough explanation on the basics of neural networks. I advice this course to everyone intended to understand more on the subject since Andrew Ng is able to easily guide you through non-trivial concept.

This was a long due course on my To-Do list and now that I have completed it, I feel this course is just what I expected. Thank you to professor Andrew Ng for explaining a difficult topic with such ease.

Nice,

there are a lot of mathematical and algebra to explain the basic concepts of Neural Network but Andrew explain in a clear and easy way - plus some advices and tips & tricks about python programming.

非常不错，感谢吴恩达老师，能够深深的感受到您的情怀。作为一个学材料的硕士，放弃自己擅长的学科，在来上这门课之前，已经入门过机器学习与tensorflow的使用。之后在网易上观看了视频。为了体验原汁原味，我花钱来这上面再巩固一次，AI行业有您带领的团队，真的非常幸运，也更加坚定了我对这个方向的兴趣。从视频以及作业中，真的能感受到您与团队所付出的努力。最后，再次深深的感谢吴恩达老师以及dl.ai的整个团队。

Compared to other courses this course is better and gave Practical experience. The best part is the Python programming language. Mainly focused on the end to end flow rather than detailed implementation.

It's a very good introduction to deep learning and NNs in general. For me, the most fascinating fact was finding out that logistic regression can be viewed and understood as a very simple neural network.