Its a steep learning curve and I had to go backwards and forwards many times to grab a notion of what Andrew was saying. In the end it became clearer and clearer and I'm stoked to get on to the next part of the course. thanks Andrew!

Amazing Especially the Coursera Financial Aid has helped me a lot to achieve this goal, and yeah prof. Ng and his team had done amazing work by bringing out this course and their teaching methods are really enjoyable and enthusiastic

The traditional way to understand deep neural network is quite fascinating and understanding the math behind the DNN with quite knowledge in advance calculus and matrix analysis is also very interesting. Totally loved this course <3.

Perfect course for those who seek to know the actual processes and calculations behind the ML and DL models. The course was very informative and interesting from the start to the end. Enabled me to gain so much in such a little time.

the course really great from all aspects,the programming assignment was really interesting and I learned a lot it goes with you with every tiny detail, also prof Andrew explained every detailed implementation and the intuition behind

This course is designed very carefully and instruction is also clearly given. Professors are well in knowledge and instructions. Practice problem is designed very well to get knowledge of programming as well as a deep neural network.

Andrew Ng is always perfect professor!

I am really fan of him.

I took "Neural Networks and Deep Learning" after taking his "Machine Learning" class.

I was able to fill the gap in this course.

Thanks not only to him but also to Coursera.

Material is just beginner-friendly.

And any beginner out there who wants to start their carrier in DL, this is the right place.

Assignments get tougher as you proceed, but can be solved easily with a good understanding of the material.

before learn, i felt guilty in my business area, as a team leader in my team. its a lack of method to make embedding technique. after learning, i got a pride in my skills. Thx a lot. and would like to continue learning with coursera!

I like the most that formulas are decomposed to detail, but sometimes, I feel exercise that comes afterwords is useful for the test that was prior to exercise. The videos of deep learning legends in the end is my favourite part also.

This is an excellent course. If you desire to understand the inner workings of neural networks, then please take this course. Dr. Andrew NG has a beautiful way of explaining complex topics in a simple, engaging and descriptive style.

The course is apt and covers all the necessary stuff required for getting into the field of deep learning. Solving assignments and building models entirely by code than using any library directly help to better understand the models.

Excellent course if you want to understand how fundamentally a neural network works. Andrew has explained really difficult concepts in such a systematic manner that the concepts get embedded in your mind forever by the end of Week 4.

The theory is well explained in terms of implementation. The assignments are tooooo easy, you will not learn how to do programming much. On the other hand, you will see how things can be done and use it as a reference for the future.

Professor Ng as usual simplifies the content while conveying the key concepts clearly and at the same time keep it engaging. Will definitely recommend to both beginners and even if you have been tinkering with ML for a while like me.

Overall course content is very good. All the concepts were taught from the basics and in a very intuitive way. Good for anyone who wants to learn the "Why", "What" & "How" of Neural Network and deep learning. Thanks Andrew NG & Team.

Awesome material. Very easy to follow. Prof. Ng is the best, takes none of your knowledge for granted and goes step by step through everything so you will follow along. A lot of thought was obviously put into structuring the course.

I learned a lot from this course. I can now make a 2-class classifier for mnist dataset with 99.78% accuracy! I hope I'll be able to implement a 10-class classifier for mnist once I get into softmax in later part of specialization :>

Excellent course. Professor Andrew NG goes straight to the point and provides the math intuitions at the same time. This course has a good equilibrium between math foundations of Deep Learning, Python implementation and application.

Excellent Explanation by Andrew Ng sir. But i would like to suggest that respected Coursera Team please focus on Programming portion also in Lecture videos so that it will help to visualize Assignments more. Andrew Ng sir is Legend.

I tried a few more courses to complete, unfortunately I had to leave the middle of those courses. But, In this course, Andrew explains everything simply, and there more visualization then speech which helps me to understand clearly.

Although I feel it is not necessary to devote that much time to explain the vectorizations, I do understand why it is important for some of the students. The materials are easy to learn and the intuitions are on point. Great course.

This was a tremendous course! Andrew Ng really knows how to do neural networks from scratch. I like this, beucase as a statistician I always want to know the math and the intuitions behind the models. I highly recommend this course.

Se complementa de muy buena manera la parte teórica de los videos con los ejercicios. Se requiere de una buena compresión para resolver las pruebas. Es bastante entretenido y genera ideas muy intuitivas de lo que se está realizando.

Perfecto para iniciarse en el mundo del Deep Learning, las explicaciones son muy claras y no necesitan conocimientos previos de IA ni matemáticas, aunque me ha ayudado refrescar un poco los conceptos básicos de funciones y matrices.