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Awesome course. Worth spending the time and efforts. Well designed programming assignments will boost our confidence in building our own neural network. Not too tough can be finished within a week

Great course, exercises are well explained and allow to practice and get a more concrete understanding of the "theory". I also liked the heroes videos which are very interesting and very different

I think this course is great.But I hope the assignment should leave us more freedom. If we can finish the entire programming on our own computers, that would be better.Anyway, It's a great course!

The course is detailed enough for a newbie to understand the concepts of neural networks and vectorization, and the only prerequisites are familiarity with the basics of Python and matrix algebra.

Could not thank the staff enough. Always felt ML and Deep Learning as the magic box. Seeing it under the hood gave me immense confidence to speak about it and realise the power of it. Thank you :)

This is an upgrade version of Andrew's classical course ML with python instead of Octave. Many details are carefully designed which makes this version better than the last version in many aspects.

Great intro to deep learning fundamentals. Comparing to Andrew's first ML intro course (one of the most successful online courses), I believe this course is very likely to become equally popular.

Great course as usual.I really appreciate that programming are in python which is great since this programming language is more and more used in Machine Learning/Deep Learning. Just give it a try.

Everything was very clear. The programming assignments were very well design and helped a lot to better understand the concepts. I enjoyed the course and now feel more confident about this field.

Excellent course for anyone who is curious to learn machine learning. Concepts are presented in a very easy to grasp fashion. And programing assignments really help to build the concepts to life.

Andre does a great job explaining concepts and intuitions, and the contents of the course are up to date and relevant for anyone looking at getting started with neural networks and deep learning.

Pretty good introductory course to neural networks and deep learning. The assignments are well-structured and the course provides everything needed to complete them. Videos are clear and concise.

Loved the final assignment to build my own deep network from scratch 鈥� I feel I truly understand forward and backdrop. Despite the difficult math and derivatives, I thoroughly enjoyed the course!

Andrew Sir is amazing professor! He teaches concepts really nicely!! Even the programming assignments are fun to do thpugh sometimes autograder grades wrong. But overall it was a nice experience!

This is a great introduction to NN I was not able to understand it on the ML course 2013 by Andrew'ng but this course explains in depth the material and really makes NN simple.

Thank you 糖心vlog官网观看

An awesome introduction to neural networks and deep learning. Andrew did a very nice job and explains in a very clear fashion. Can't wait to take the other courses in deep learning specialization

The course content has been structured so well, that anyone can understand the intuition behind neural networks. I have learned a lot in this course, eager to move forward to enhance my knowledge

This Course helped me in placing a strong foundation about the mathematical functions and derivatives used for neural networks like back propagation, activation functions, and many more concepts.

Very clear explanations about basics of neural net's work. Previously I read a book by Y. Goodfellow and scared of huge background in this field. This course proved me that everything is possible

The course is extremely great. the best one for people who knows some theory aspects of ML and Neural Networks and want to learn the practical one to be ready to find a job or finish their study.

After finishing this course, you will gain a strong understanding of linear regression, forward propagation, backward propagation, hidden layers, and building your own multilayer neural network.

Course is great for understanding the basic concepts of neural networks. Content uses notation that is standard in modern application and can lead you to applying the concepts to other use cases.

Andrew Ng has in depth wisdom on production use of neural nets, this course was easy to follow and very valuable. I highly recommend watching the "Deep Learning Heros" optional video interviews.

Gives a fantastic indepth insight into design of neural networks. Looking forward to using models like tensorflow, etc for more complex problems like speech recognition, medical diagnostics, etc.