Great course, though i have been working with DL models before this course, i never intuitively understood their internal workings. This course strengthened by basics and enhanced my understanding about DL

The course is great, you don't have to know a lot of calculus to follow through however basic knowledge of linear algebra can help in easily grasping the fundamentals. The assignments are also very helpful

It is a very helpful course with all the detailed discussion about deep learning and neural networks. Prof. Andrew ng is helpful and teach very well. I am excited to do more courses of this specialization.

The course is really helpful to develop a better intuition about the algorithmic working of neural networks.The calculus portion was just the right amount and the programming assignments were fun to solve.

Really easy to understand for someone who has no knowledge about neural networks before! Coding exercises helped me remember the concepts better. Even if you are experienced, this would be a great refresh!

The course gave me a broad idea of the concepts involved in building a Neural network. The programming assignments helped me gain a clear understanding of concepts. This was an amazing learning experience!

Really helpful in understanding the mechanism behind the working of various deep learning concepts. It gave me a clear view of how the algorithms actually work and got a chance to implement them on my own.

The course is very structured and well taught. Andrew Ng is one of the best instructors. After completing the course my confidence is boosted up. I am going to take remaining courses in the specialization.

This is a great course to get into Deep Learning. A little too much calculus I would say, but this gives you a solid base for further exploration. The assignments a very well structured. Highly recommended

Very easy to understand introduction to deep learning with great examples providing a good overview of the fundamentals of deep learning. Andrew Ng's great teaching style makes this a very enjoyable class.

A great course with the best explanation of the mathematics applied and I just got to learn to build a neural network in a theoretical, mathematical and practical way. Thanks to Coursera and Andrew NG Sir.

This course helped me unfold the Deep learning Blackbox for me.

I would like to thank the mentor and the organiser for structuring the course in a way where we can get a descent understanding of the basics.

the code in the programming assignments needs to be explained more thoroughly , if in the video not only the forward and backpropagation part but also few other parts are explained it will be more helpful.

An excellent introduction to deep learning. Only feedback is that the derivation of the math behind the backpropagation equations was not shown for people wanting to understand how the formulas came about.

After this I am a great fan of Andrew Ng. I mean the simplicity he has used to explain nn and deep learning is legendary. Assignment and Quizes were well suited for testing the understanding from lectures.

Andrew made this basic but very important knowledge much easier to understand. The python practice part is also very helpful. It rechecked the parts I didn't really understand after the lecture. Do thanks.

I read a lot about NN. With this course, I got to see/do the implementation of it with bare bone structure, which absolutely solidified my knowledge and gave me a much better understanding of fundamentals.

Um curso que vai além do convencional que é mostrado em abundância na internet. A visão vetorial das redes neurais é fundamental para se adquirir ainda mais insights sobre o comportamento desta ferramenta.

Excellent course if you are interested to understand how things work at very low level. Clear explanation of the algorithm rather than just programming with some high level framework, makes it interesting.

This is a beginner's guide to neural network and deep learning, with excellent build up of exercises. Don't let the math scare you as you will have time to deal with it later when building your own models.

very impressive on explanation and mathematical background intuitions, step-by-step python notebook is easy to follow and codes are easy to read as most variables are named to be matched with the equation.

The course was well organized and the concepts was very clearly explained. The subject matter was very relevant and there was enough information presented to understand the topic without too much overload.

Excellent for beginners (in all sense). Even if you are a novice in python, Deep Learning, AI or/ and vectorization, this course has got them covered. All you need is little determination and little logic.

Great introduction: an intuitive approach to solving a whole new class of problems using neural networks; these are problems that would be very difficult to solve using conventional programming techniques.

A must take course for everyone who is aspiring to make a career in deep learning. Dr. Ng's explanation is lucid enough for even a beginner to understand machine learning terms.Overall, an amazing course!