本次Andrew为我们带来了更好的神经网络入门课程，相比于《机器学习》课程，该课程的编程作业和课后选择题的题量更大，且jupyter notebook的作业形式使得学生必须过目所有代码，这加深了学生对于神经网络的理解，且jupyter的交互式特性也使得学生能够更快地得到反馈，有利于更好地掌握python编程。

Really great course for learning essential concepts about neural nets. I only wish the homeworks were harder but they will surely teach you lots of things.

Very clear and good explained lecture, well designed assignment. It really make me understand when I build a deep learning model from scratch all by myself

Dr. Ng patiently and thoroughly explains the mathematics and code behind shallow and deep neural networks. A very well-organized course - highly recommend.

Incredibly well designed course! I took a lot away from taking it; I definitely recommend this course to people who are interested in deep learning at all.

I have learn basics of neural networks and its working. This specialization is really amazing everyone should take it for better insights of deep learning.

Good intuitive explanation of the basic building blocks of deeplearning. The Jupiter notebooks is a nice and useful way to implement python coding without.

This course is an excellent starting point. It brings out the motivation and operation of basic Neural Networks in an intuitive manner. Highly recommended.

Great course! Dr. Ng breaks things down very well and makes sure all the concepts are easily accessible and thoroughly explained for the student. Loved it!

Well explained, flexible on math requirements, exceptionally good exercises on programming - allow you to learn in depth the theory and put it to practice.

Great course! Well organized materials and super practical problems to work on as programming assignments which just make the learning process so much fun!

Dr. Ng is a great instructor and I'm so glad he launched this specialization. There is no one better than Andrew Ng to teach deep learning, he is the best!

This was a fantastic journey! I'll definitely follow Deep Learning specialization. The ability to see your results on some real datasets is just fantastic.

It was very clear introduction to Neural Networks. If you have a problem with understanding forward/backward propagation methods, so welcome to the course.

Very clear and easy to follow. ESPECIALLY for anyone who have been exposed to calculus and linear algebra, although he seems to describe everything needed.

Great. In one course you will be able to implement NNs with generic numbers of layers in Python. Andrew is great teacher, I cannot stop watching his videos

Really good. The final exercises are perhaps a little dumbed down, but overall this is a great course for someone with no prior knowledge of deep learning.

Wow it was so detailed and from scratch in python. Videos are so informative . I am gonna keep watching them again and again. Thanks for putting this up.

It is really a good starting point of deep learning. Easy understandable material and bunch of coding assignment for creating a neural network from scratch

Highly recommended for those who seek to understand deep (and even shallow) neural network on how to model, how to train, really in matrices computations !

Very good course, well explained and exercises are very interactive. I would like a little more math, because I'm a math lover, but is just a nice to have.

Andrew is awesome, the concepts which he reviewed was so helpful to understand the what is going on behind the deep learning algorithms, thank you so much

Great course from honorable ANdrew Ng. Tough methods where presented in easy way. All programming tasks are well-structured and have comfortable interface

I liked the way concepts are explained. I could grasp all the concepts with clear understanding. I would definitely recommend others to take this course.

If you have the time to invest, this is an excellent course that will help you confidently understand the process to construct and train a neural network.