This course lays out how to build a deep neural network from scratch, slowly and systematically. Its a pleasure to learn this way - step by step with interesting lectures, quizes and assignments. Andrew is such a gentle and empathetic teacher. He know what will be difficult and walks you through it with the patience of a saint! I feel all set to now take on the next course in this series.

Es un curso muy útil para aprender la parte esencial de las redes neuronales. Especialmente útiles las explicaciones de Adrew Ng, ya que expone las nociones matemáticas básicas a partir de las cuales se puede ampliar, incidiendo en la necesidad de conocer la base matemática de los modelos para poder trabajar cómodo con ellos.

Recomendable para el que quiera conocer bien estos modelos de IA

This was the best introduction to the Deep Learning I've ever had. I think without knowing the intuition behind Deep Learning and Artificial Neural Networks you won't be successful in the long run. So, I highly recommend this course if you want to be part of Deep Learning revolution. Just please try to help humanity overcome some fundamental difficulties, not help advertisement companies.

Very nice course, introduces fully the high level "API" of neural networks. Much more clear and understandable that approach from fully mathematical point of view as I had in FFR135 Artificial Neural Networks Course in Chalmers, Sweden. Nice to have all those provided practical exercises. If I would take Neural Networks and Deep Learning before FFR135, my life would be much, much easier!

The content of the course is impeccable. The methodology by which the different subjects are addressed, albeit their complexity, is really organized, making the content accessible for anyone who has the will to learn. Andrew is really patient in his explanations and the way he teaches by writing makes the course more dynamic in comparison with other courses where you only see ppt slides.

It covers all the basics and with codes. That is so awesome and efficient. I wish there are summary notes can be more condense and be available at the end of the course and home work solutions print out nicely. So I can document it easily. Some automatic grading errors happen such as if I make a mistake in an early one, I fail all after. So, improvement in that will be nice. Thanks

I have never seen anyone explain such a complicated concept in such a simple, down to earth and understanding manner. When I was enrolling for the course, I wasn't sure wether or not I would finish it, but after the first week and how Mr Andrew explained the concepts, I knew I would take the complete specialization. I really had a blast and I'm excited to begin the next course. Thanks.

Andrew is an exceptional instructor and I am amazed how he is able to explain complex topic like deep learning in simple and easy to understand concepts. Furthermore, the course is structured in a way (time allocation, quizzes, and programming assignments) that one doesn't feel overwhelmed and with each step you feel curious/inquisitive about next step. Looking forward to next module.

This is one of the best courses in DL by Andrew Ng. He walks through basics and provides enough hands on to gain confidence. This course opens door for those want to work in the vast field of DL. I like the interviews with the DL Heroes - that is very encouraging and helps getting insights of the development, mathematical backbone and opportunities. Thanks a ton to Andrew and his team !

At first it was very difficult to follow the lessons. However, if you want to work in this field, you have to study the mathematical meaning behind it. It is a bit boring to do the functions of all mathematical models manually instead of directly using the library, but you really understand which parameter does what and why we should use it. Then the puzzle solves and you say 'Aaaah' :)

This is a perfect course for anyone who wants to get introduced to NN and DL. The lectures are arranged in a meticulous manner and the quizzes test your knowledge thoroughly about all the topics covered. Although the assignments might seem easy for some people, I consider those as the revision of all topics by implementing it with coding in a step-by-step process, rather than as a test.

Excellent course. The concepts and implementations were wonderfully explained. The best explanations of backward propagation and best and easy way to implement them I have found till now! It has also significantly improved the way I write my ML-codes, making it more efficient and short with use of vectorization, broadcasting and parallel processing through numpy functions. Thanks a lot!

A great course for beginners who are starting with Deep Learning! Gave me an accurate and detailed picture of how exactly neural networks internally. Also, the programming assignments are structured well so that you get to practice what you learned in the course but, not making it too complicated so that you spend a large amount of time on them. Overall, a very well structured course !!

Fantastic course. I've taken many probability and statistics courses, a few python courses and now more focused "data science" and ML courses. This course stands out due to: 1- the instructor, a very well known and self-effacing teacher (he's great) and 2- his ease of instruction, his style and his "hands-on" approach to learning about Machine Learning. I strongly recommend this course.

In general a very good course, and I highly recommend it. The lectures by Andrew Ng are easy to follow and focusing on exactly what to know (but at the same time skip some mathematical details). Programming assignments are quite easy but still give good use of the lecture material. If you have some previous experience with machine learning, this is a great introduction to deep learning.

Great course! It gets a bit mathematically involved at times but Professor Ng does an amazing job in breaking it down to the level that anyone can understand. The assignment are really well structured with detailed explanations which make it easy to pass the course even if your programming is not that great. I'm definitely going to continue with the other courses in this specialization.

Incredibly powerful as deep learning itself. Incredible course , amazing instructor, I must say he really puts in a lot of effort teaching and giving insights.

However I still believe the world of deeplearning itself has progressed to a much bigger world by itself so you need to go beyond this course as well. However this course in an important stepping stone towards success in the area.

I have been taking this course for 2 weeks now and I feel that this course has been very smooth and easy to understand so far. The course dives into logistic regression and explains how to implement a logistic reg. with gradient descent from scratch. The course discusses various optimization techniques and also discusses some of the common roadblocks that any new student may come across

Everything was laid out in an extremely clear, concise and complete manner. I had no software, CS or machine learning experience before, yet my learning process went extremely smoothly due to the astonishing didactic proclivity from both professor Ng and everyone else involved in the development of the material. Congratulations on achieving such high quality for this broad an audience.

I was able to complete it and get a lot of insights from the course and the discussion forum and thoroughly enjoyed it, even though I didn't have prior knowledge of Machine learning. Though to any future learner I would strongly suggest going through a couple of beginner-level concepts of machine learning like logistic regression, gradients, etc. to extract the 100% out of this course.

This is an amazing course for people who want to get started with neural networks and deep learning. Andrew Sir makes the math behind the scenes very easy to understand. The course is easy to follow as it gradually moves from the basics to more advanced topics, building gradually. Very good starter course on deep learning. Also the Assignments are well-designed too. Highly recommended.

The instructor explains in a very detailed and clear way how to build a DL network from scratch. In addition, he explains important things and does a very quick and awesome introduction in calculating gradients using derivatives. IIf someone has programming experience in Python or other programming languages and wants to get deeper knowledge in ML algorithms, I can highly recommend it.

Just what I was looking for. It's rare if not impossible to find a Deep learning/A.I class that teaches you the basics from the ground up without tensorflow. The explanations could be a little better and the programming assignments could be a little more barebones to learn the material better but all in all I'm very satisfied with the level of instruction and the quality of the course.

This course presents very complicated material in a way that is understandable and will offer insights to all learners. As someone who is advanced in calculus and matrix algebra (not required for this course), I gained a better sense of what exactly is happing during the deep learning model training process, and also found that this material helped strengthen my python (numpy) skills.

This was an awesome course to attend. Course gave me good foundation and motivation to expand my knowledge that is related to deep learning. Andrew's explanations were clear and good, because of that I learned a lot about generals problems that one encounter while trying to develop deep learning application, and besides that, I learned how to build train and apply deep neural network.