This is the best coure to learn Neural network. Leave aside all the clutter - the ground up approach and simplicity gives you deep foundation. On top of that, this couse gives all necessary help with great detail that you not only know the theory of Neural network - but implement on your own as well.

The definitive introduction to machine learning with neural networks. A positive evolution of Andrew Ng's old Stanford course also available on Coursera. It's quite a positive experience to see an instructor take extreme diligence in refining their material to be as streamlined to absorb as possible.

Foi extremamente gratificante e enriquecedor poder ter acesso a esse curso! Minha visão sobre a área de Inteligência Artificial, especificamente no quesito de redes neurais, foi expandida pontualmente e acredito que durante o tempo de curso eu pude evoluir muito enquanto profissional e cientista.

One of the finest Deep Learning & NN introductory courses I've ever seen. This one is well-organized as well as comprehensible.

In fact, Andrew Ng always explains DL & ML concepts in such a simplistic yet comprehensive way, that I believe, makes them intelligible to audiences from non-CS fields too.

This course was hard but I don't complain at all. Course materials was very well prepared and informative.

I highly believe that this course will help me build advanced deep learning models in my Phd thesis.

Also I am very thankful for giving me the opportunity to take this course with financial aid.

An amazing course for beginners who have just started learning the basics of deep learning. Course organization and assignments are well organized and documented properly. I couldn't help saying about the guidelines while doing assignments are extremely helpful. A highly recommended course to learn.

Excellent course for clear understanding of neural network and deep learning. Previously I knew use of neural network in MATLAB. But, I didn't knew it's implementation in Python. By doing this course I have gained the implementation of deep learning in Python. Thanks to all related with this course.

I've completed the first course of the specialization(deep learning.ai). Course videos are excellent. Assignments are quite easy, programming is based on implementing the mathematical formulas and choosing the proper matrix dimensions. But when it comes to programming, the course has to be improved.

Many Machine Learning guys know about various inbuilt libraries but they don't know the internal functioning of those libraries. Through this course one gets an insight of why people use in-built libraries for training a deep learning model. This course is best to actually learn what ANN really are.

Good course to learn the basic of neural networks and deep learning. However, I have one request for improvement. I want lecture material in PDF files. I don't want to check each video every time when i want to check the equation in the video. I want to check the summary non-video files such as PDF.

Overall great course, must see for beginners. Programming assignments seemed to be a little too easy (too detailed instructions made some parts trivial). You should definitely check Discussion Forums if you want to dig deeper into calculus presented throughout the course - some great articles there.

I highly recommend everybody who interested in AI learning this course at any time during his or her lifetime. Furthermore, I really appreciate deeping.ai and coursera gave me this precious opportunity to complete this course. It absolutely helps me a lot with fundamental expertise in deep learning.

The course is designed very well, step by step leads to N-layer neural network. The excise is very helpful, it is not to make difficult to students, rather make or encourage students learn a lot via step by step guide. After the course, I have great confidence to learn further deep learning courses.

I cannot thank deeplearning.ai enough for this coursework. I was hoping I'd get some exposure to Deep learning in Python and this specialization is exactly the thing I was looking for. I'm going to use the techniques learnt in this course and apply them in my internship, also in Kaggle competitions.

Excellent course. Well presented by Andrew Ng, who takes you through the materials at a relaxed pace.

The course content is thorough and explains the concepts from a variety of angles, allowing you to understand even the more complicated mathematics.

I enjoyed this course immensely, bring on module 2!

A great course with quite a bit of theory (which many other courses so often lack) and plenty opportunity to practice the course materials. What is appealing in particular, is that in each assignment we're given less and less support so that we learn to rely on what we've learnt. Highly recommended

The course gave lots of insights into Neural networks and Deep learning. I suggest the learners to be patient till the end and go through all the lecturers. If you are not understanding at the first, if you read it once more you will be clear. Thanks Coursera for providing such an wonderful course.

Very clear explaination on basic concepts, the exercises are very useful for me to understand what I have learned in the course, after this, I am more eager to learn the next ones concerning hyper-parameter tuning and so on. Many thanks to the tutor and all the people who make this course possible.

This is course is really intuitive especially when Professor Andrew explains forward and backward propagations. All the videos and assignments are course related. It is really useful for me to understand Deep learning fundamental and how I can actually write my own DL model from scratch. Thank you!

Mr. Andrew has a knack of making things simple. When you hear to his videos, it sounds so simple. The exercises are well thought through, very consistent with the variable names etc and very good mentor support. I thoroughly enjoyed and happened to finish the course earlier than I thought.

Excellent course. Very detailed explanations of how neural networks work including most of the complex mathematics behind it. The topic is very complex but Professor Ng does a fantastic job in simplifying it as much as possible. I'm looking forward to the next courses of the specialization! Thanks!

It's good. But it is a little too much "given": You have to code a very few lines of code per assignment, so if you really want to learn, you better pay a lot of attention to the videos and go through the assignments over and over: if you think completing them once will set you up, you're mistaken.

Excellent introduction. I really suggest the course's authors make another Specialization after this. One with more advanced topics such as GANs--but more importantly one that focuses on projects. Perhaps with detailed projects to learn from and then personal projects to cap the course.

Cheers,

R

A really fantastic course by Andrew Ng sir yet again. This course almost contains no loopholes and I would recommend this course to anyone with beginner to intermediate knowledge of the field. Every concept is covred in detail with sufficient explanation. Overall one stop learning for DeepLearning!

I've been coding neural networks as a practitioner for years, learning only from online articles and examples. This is the first time I've done a formal training and it brought everything together so well. Really excellent explanation and the labs built on each other very well. Highly recommended!