This course provides a good understanding of the fundamentals of deep learning. Also, it helps understands some differences between machine learning and deep learning. Additionally, math described in these lectures looks really useful to provide a good understanding of the fundamentals

Great tutorial by Dr. Andrew Ng. Well structured videos with right examples to understand the concept. I was able to understand the real working of the Deep NN through this course. Good blend of theory and practice. The quizzes and assignments help to reinforce the learning. Excellent.

This course is perfect for Deep NN introduction. Rigorous derivation of forward and backward propagation in a L-layer Neural Network. Excellent lectures and rigorous. I recommend for any engineering student and professional. Thank you Andrew and teaching team for this excellent course.

The Teacher Mr. Andrew Ng is by far one of the best teachers I have ever had. He explains this complex subject in such a clear way, hat anyone with some mathematical / programming / engineer background can understand. I wish I had more such teachers during my studies at the university.

Excellent course to get an insight into neural networks and deep learning and to understand the maths behind the topic. It may be a little overkill for the pure practical implementation, even if the practical realisation might be difficult without this previous knowledge. Great course!

As a student that completed the machine learning course a while back I expected nothing less. good insight, very good material. The only thing I'd change is that I'd put the machine learning heroes stories towards the end of the course, but you can always go back to look at them again.

What puts this training above the other ML courses is that Andrew explains step by step the mathematical foundation of Machine Learning.Once you understand ad practice on implementing manually a full - tiny- Neural Network you are ready to take any challenge! , Fantastic, an A+ indeed

The course was great..But i feel the programming exercise using Jupiter was not comfortable. I previously took the machine learning course and personally feel octave was great to learn and practice on, Jupiter notebook often fails to save checkpoint and kernel goes offline quiet often.

Really liked the calm style of Andrew! I think the kind of math presented in the videos is (surprisingly) easy. That said, for my personal taste the computation and vectorization steps felt extremely repetitive. On the other hand, I am a chemist by background and had previous exposure.

The course was a very good introduction to the practical mechanics of Neural Networks both shallow and deep. It provides information to the student that can be used immediately in real world problems while providing the background to understand more advanced topics in machine learning.

The course content is well designed and quite interesting. The homework is very handy to kick off as a nearly-done template has been provided and all you need is to add few lines of code. I think you can really learn useful knowledge as long as you follow the pace. Thanks a lot Andrew!

Super course which is highly recommended. The first part is fairly basic but it gives the student the time to catch up and get some important hands on exercises. Andrew Ng is one of my favorite teachers and it is a real pleasure to follow his instructions even if it is known territory.

Everything about this course was amazing. I do not have Linear Algebra or Calculus background. However, this instructor introduced topics with just enough background without overwhelming me while still allowing me to understand the concepts and motivating me to keep going. Kudos!!!!

This was my first course in the field of Deep Learning and this course has served as a great start. The course videos were concise and informative while clearly laying out what is to be done and how. Labs were awesome too with step-by-step guidance. I thoroughly enjoyed this course.

I loved the quizzes. Even you can submit it many times, I think even in this way you can learn things. Programming assignments are very good for two reasons. First because the difficulty arises gradually and second because you can check your code to other inputs with uploading images.

The first course in the Deep Learning Specialization offers the fundamental knowledge on how the neural networks works. The course covers overall learning of the topics. The theory explained by Andrew is crisp and the exercises at the end of each week help to implement these concepts.

great course! I literally enjoy this specialization, I am learning so much and the notebook with the problem exercises are built in a great way so to be able to remember and review things, plus you can download them and use them as a reference in future.

I can just say thanks and hugs!

This course is delicious. It takes you step by step through the implementation of a multiple layer deep neural network. The lectures are instructive and the coding exercises are straightforward. It's quite satisfying to build a deep neural network and apply it to image classification!

Lot of ground to cover since I was starting from scratch with little background on this topic. But concepts were explained clearly in a non-intimidating fashion which was encouraging to continue learning (pun intended!). Looking forward to the next 3 courses in this specialization!!

This is the best course! Andrew explains difficult things with the easy language providing lost of examples to enhance your intuition.

Assignments were extremely good and makes you understanding even better!

I like it very much and going to take the next course of the Specialization!

Excellent explanations to understand how a Neural Network works from inside. I enjoyed the course a lot and I don't regret the choice among so many courses that you never know the quality. Furthermore I found super interesting the interviews that Andrew NG made to some NN's "fathers"

An amazing high-quality course that requires a lot of extra reading. Luckily, I had some background in this field and studied beforehand, which makes the whole learning easier. I wouldn't say this is completely for beginners, but it is worth the efforts, once you have some knowledge.

Really a great course for people with all kinds of skill levels. I had a few missing links in my understanding of neural networks so I decided to take this course and completed it in a short time. Now, I have a better understanding of neural networks and more strengthened intuitions.

Es un excelente curso para quien desea dar sus primeros pasos en cuanto a la inteligencia artificial. Las clases, los ejercicios, los videos, las tareas, y el profesor todos son de máxima calidad. Recomiendo tener una base de conocimiento en Python (básico). Muy recomendado el curso.

Quite interesting topic... besides that I will like to have away to complete exercises. Because in some cases I got the minimal score required, but for the missing exercises I was unable to complete having the solution I will be able to finish my understanding of the exercise.

Thanks