Very good course. This is all you need to learn deep learning yourself. If the error message from the programming assinment is more informative, it will be easier to debug.

Excellent experience. Well designed and supported in learning. Very much clears the fundamentals of working of neural networks and deep learning. Thanks to Prof. Andrew Ng.

It is a great basic Neural Network Deep Learning Course and the content was deliver beautifully by Sir Andrew Ng. Amazing and Love it. Thank YOU COURSERA and Sir Andrew Ng.

Great lecture but programming assignment is too easy where the structure of the code has been laid out. Had taken more difficult courses (MITx Machine Learning with Python)

Awesome course, really gave me a good and comprehensive introduction to deep learning. Lessons and explanations were easy to understand. Looking forward to the next course!

Very well taught. Some concepts maybe hard to grasp at first but doing the exercises and applying them on your own really helps to understand the every step of the process.

The explanations were very clear and especially the ones in the programming assignments. The course was flexible, crisp, clear and worth the time. Thanks to the instructor.

The Programming assignment and quizzes are real deal they really enables people to put their best in it. Overall, definitely Helpful and it is worth trying this course out.

Truly an incredible course taught by an exceptional mentor! The methods by which Andrew teaches us is so enjoyable and easy to learn. One of the best courses to learn from!

I'm giving 5 start, it was a really great course with a good mathematical explanation. the exercises help you a lot to understand how machine learning works, nice job guys!

This is the course for someone who wants to learn neural networks and its code from scratch from beginner level to advance level. Huge respect for Prof.Andrew and his team.

Nothing, it was perfect. But it'd be interesting to see the numpy module written from scratch using SIMD instructions but that is probably outside the scope of this course.

Wonderful course. Each step was taught in elaborate detail and the programming exercises were well tailored to add value to what was learnt, make the fundamentals stronger.

This is the best course I ever have completed on Coursera. The best part is, this course takes very small-small steps and you will complete the course without even knowing.

Me gustó mucho el curso, está muy bien explicada la teoría y te permite además implementarlo en python lo cual me pareció muy valioso para poder hacer mis propios programas

Neural Networks and Deep Learning a very detailed and straight forward course, I highly recommend it for anyone that wants to dive into machine learning and deep learning.

Great Course, the concepts were explained very well. The difficult derivations are made easy due to setting up consistent nomenclature and going through intuitive examples.

A good overview of basic neural network concepts, with some hands-on programming experience for forward- and back-prop, gradient descent, etc. Overall, I'm pleased with it.

Pretty much a great course to apply Neural Network to Binary classification problems and to obtain a sense of what actually happens under the hood of a Neural net engine .

Great refresher for the old "Machine Learning" course from Stanford University. Using python + numpy this time instead of octave, puts is closer to real-world applications.

The way Prof. Andrew Ng explains core concepts from scratch is unparalleled,and the course assignments are also well designed to give you a feel of how the algorithm works.

More back propagation derivations would have been nice for those of us that know calculus, but very approachable, and good big picture ideas on implementing neural networks

The course was useful to understand the basics of deep learning i.e. neural networks and helped develop intuition regarding the working of forward and backward propagation.

Great course, amazing teaching style, learned to program in the environment but not real life in the terms how to do this (cat recognition) outside the environment provided

The course is great, well explained of how deep neural network works.It will be better if there is corresponding code for the same DNN model in tensorflow/ pytorch / keras.