Good course to understand the basics of deep learning. You will get good knowledge on concepts like forward propagation, backward propagation, L-Layer neural networks. recommendable course as a starter for deep learning starters. It may cause some confusion who don't have any idea about calculus.

Very nice introductory course to Neural Networks. Enough clear to be easy to understand by anyone with a little background in programming, but enough detailed to explain all concepts regarding Neural Networks. You will be able to implement your firsts Neural Networks from scratch with this course.

I am thrilled to join this course. I really appreciate Sir Andrew for all his hard work and way of teaching, which made these complex topics pretty easy to understand. Though I am from Mathematical background I am sure who all are not from a math background can also understand these logics easily.

Absolutely well structured tutorials, plus the assignments were also very good for gaining confidence. Enjoyed the course while learning several interesting new concepts. Can't wait to dig deeper into the world of Deep Learning. Kudos to Mr. Andrew Ng, and the team that contributed to this course!

Great Course ...Nicely put. Was able to breeze through it. Much much better than other Machine Learning Courses. Thanks Andrew Ng & Team for putting this through.

Tip: Watch the videos at least twice before starting the programming exercises. You will absorb new material every time you watch them.

the class is easy to follow and practical by asking students to do hand-on coding assignment. Highly recommended. One suggestion is that, the interview videos are very long and contain many concepts that are not taught yet at the time, perhaps you can put the videos at the end of the whole course.

Very well balanced course. Good mix of video tutorials, multiple choice questions and hands on coding.

Every time you code you can get instant feedback by running a test block and/or submitting the code to the automated grader which means you won't get stuck or go off on a coding tangent too often.

A very good course for computer programmers or beginners to dive into Deep Learning and Neural Networks. A background of machine learning helps. I'm an university post grad in comp sci and took a machine learning course there. I learnt way more in this course then I did in my university's course.

I would highly recommend this course for those who don't know much about deep learning and want to step into this area. The course material are well organized and the assignments and projects really helped me with understanding the course video. I am ready to start the next course and dive deeper!

Very easy to understand explanations of the essential components of neural networks and deep learning. The quizzes were a good way to check the material and solidify the concepts. The coding assignments were easy to follow and complete, though I hope they get more demanding in the later courses.

This course is awesome. For a non-expert this course portraits great intuition and brings you up to speed and understanding. You need to put effort into it because is hard (the algebra part in my case) but it is highly rewarding! The rejoice of understanding the beauty of the algorithm is awesome.

I write a neural networks by numpy , it do helps to my understanding of deep learning .Instead of using caffe,mxnet,tensorflow , I create it by my forward propagation & backward propagation .In my way to imply a backward propagation, I understand a full neural network that I never know.thanks ng.

Very good introduction course to neural networks. I really enjoyed building my own ANN from scratch with help from the prepared templates and see my code run for the first time. Andrew's teaching skills are impressive and this course's quality is even higher than for "Machine Learning". Thumbs up.

Very well done course, it will take you to deep learning from begining, you don't need to know anything before you start.

After the course you are able to code your own neural network and learn it to recognise cats on the photos, or estimate any data based on inputs, like houshold prices and so on,

This is great course. Advice to students: I would strongly suggest going through all the reading material and implement one L layer neural network without any of the templated/half-complete code. Start with a fresh ipython notebook and do not copy/paste but implement it with full understanding.

We can learn very intuitively what DNN is doing from this class, and the programming exercise helps a lot with better understanding the structure of a neural network. Also, it's very encourageing that the teacher keeps telling us "Don't worry about it", which gives me a lot of courage to keep on.

This course was hard for me as a seventy year old, but it was very well presented. I also appreciated the discussion forum, expecially Paul Mielke's comments and help when I got stuck on an assignment. I recommend this course to anyone that wants to understand neural networks and deep learning.

very good, although implementing algorithms from scratch seems a bit tedious to me, since there are now libraries like tensorflow, or scikit learn that implement complete neural network architectures, of course, I suppose that the goal of this course is to teach the principle of neural networks .

I have taken Andrew Ng's first course in coursera last year. Love it this course also, Python and Neural Net right combination. Like his first course, in this course also, he really explains the basics you need need to know about deep learning , which helps to solve your own interesting problems.

However I think could had a lot of despondency. Some information have being repeated over and over. I do not think it is necessary bad in general, actually. It is ideal for a programmers with minimal math skills. I will keep progressing on this path keep taking the courses from this certification

Great introduction to Neural Networks. The course content has been thoughtfully divided into lessons that build on each other and increase in difficulty slowly. The assignments are a great addition to the video lessons and do a good job of reinforcing the concepts provided in the video lessons.

Great start to learn about Deep Neural Networks. Andrew's explanations and notes are really thorough and he makes sure to bring everyone on the same page by describing the background knowledge in great detail (e.g. derivatives, indexing). Looking forward to the next courses in the specialization.

I have seen this course for some times. It introduced me to the ocean of AI. It's really inspiring to find a other way to understand what is intelligence. We know nothing about human intelligence. It's a comfort to know what the computer analysis the world. Althogh we still don't know the detail.

I am grateful to have landed on this course. I love the way Andrew Ng conveys these ideas in an extremely simple manner while making sure that the knowledge has been correctly grasped by the course participant through effective quizzes and exercises. Looking forward to the next course.

Thank you.

Nice course with very well thought-out and consistent notation. It provides a good update to the neural networks information provided in the Machine Learning course in both intuitive understanding and technological considerations. This is a great first course for the deep learning specialization.