The way mathematics is explained is very intuitive. If you know basic calculus and matrix multiplication, you will easily grasp all the concepts taught in the course. Moreover, by the end of the course we implement our own neural network without using any library like TensorFlow which really adds to the confidence.

Andrew presented the material in a way that was very easy to understand and the exercises were very helpful for learning how to code deep learning models. The format of the course is exceptional with videos and text of the lectures to go back and review any information that isn't understood the first time through.

Andrew is a great instructor that explains very clearly the core concept of Neural Networks and teaches you step-by-step how to develop and train your very first Neural Network. Absolutely the best series out there for anyone who wants to break in to ML and DL. Really, Andrew makes it anyone can learn this stuff!

This is a very good course. The instructor did a great job preparing the materials to help students to grasp complex ideas and mathematical formulas. The programming assignment is also excellent as it both reinforces my understanding of the course materials and builds confidence to develop an application by myself.

This course is very good starting point to get into deep learning. Course content include necessary explanation on the required mathematics. Once must have some knowledge of python to undertake this course. Programming exercise is very heavy commented and try to explain every detail from implementation prospective.

Very good course. Focuses on implementation rather than the math and theory of deep learning. So if your intimidated by the math or theory, or are not really interested in the theory, this would be a good first course. It provides all the tools you need to implement a multilayer, fully connected, binary classifier.

Excellent, thanks to Andrew Ng's teaching, the material is easy to understand and follow.

The coding assignment is also well-designed, helping me improve my understanding of concepts and architecture, and also making the change of parameters and other values between different layers and directions clear in my mind.

I think you are a great instructor and I feel I have learned a lot from you. I feel that you have opened my eyes to some new perspectives and helped me to become a good programmer.

I hope you have a good summer during the quarantine days and are in perfect health.

I really appreciate you.

Best Regards,

Atefeh Torkaman

I learnt a lot of things form this course. This is the stepping stone towards my career in deep learning. I would like to thank Andrew ng for providing such a knowledgable course. I learn lots of mathematical formulas to implement > I will look forward towards the next course in the specialisation. Again thank you

This is a good course to start with neural network basics. The course is structured carefully to start with single layer, then 2 layer and then L layer NN. The exercises are well articulated. Only thing which could have improved was to let the user do some more coding rather than giving built-in stuff. Keep it up.

This was an outstanding journey to the Deep learning. I loved this course's style and perfect level of preparation. And trust me I know how hard is to prepare something with as perfect quality like this. Mister Andrew is excellent lector. Thank you in advanced. I managed to understand all the knowledge presented.

Fantastic course, really enjoyed this. If you're looking to do this course and you haven't seen a math equation for a while... Do a few algebra equations and watch a few calculus/linear algebra courses on YouTube just so you're in the right frame of mind (I did this a few months before the course and it paid off).

The content of the class was great overall. However, the projects would have been more valuable with less guidance (i.e. less code already filled out for the student). Although, I can definitely understand why the projects were structured this way: To keep the focus of the project on the machine learning concepts.

I personally finished this course in a week. My feelings are:

-The lectures are presented in a very clear way.

-Assignments are relatively easy based on the detailed instruction.

-Gain a basic understanding of how neural network represents, how it works, why it is better than traditional machine learning algorithms.

I was trying to learn from various sources but no i started from the basics like you did and also programming notebooks are beautifully designed such that some one can open it in future and it will just give a recap plus your deep diving with numerical analysis was best process. Thank you for this awesome course.

Really nice introduction to Deep Learning. I found really amazing the continuity in the programming assignments. I would recommend for everyone who wants to start learning deep learning, you should not skip this part of ML/DL (I refer to those persons who wants to short-cut their way to become a ML/DL developers)

Coming to this class after taking Andrew's other Machine Learning class on Coursera. It is nice to have a familiar face and the quality of the class is just as high. The programming assignments have been just the right amount of difficult and have done well showing the real world application of Neural Networks.

This introductory course helped me understand what neural networks are and how they work. One drawback that I see is that programming assignments were too straight forward. everything was described in the comments. all you had to do was to write the equations in python and that's it. not a bit of thinking effort.

The content of the course is quite friendly. The teacher's teaching is not only very instructive but also helps me to establish a deep learning knowledge framework.

On this basis, I have not only learned new knowledge, but also helped me review the basic syntax of Python and the use of Numpy.

Thank you very much!

Definitely worth taking. It is slightly on the easier side, but Andrew does an amazing job amazing very complex things in a way that anyone can understand. I really like the weekly quizzes and programming assignments, because they really make sure that I understand the material. All in all a very good experience.

A must-have course for the fundamentals of Neural network. This course provides the building blocks for the Neural Network and 2 layers vs N-layer Neural network Model. The best part is identifying the different pieces of the NN model, then defining those and then start building the full model using these pieces.

Great course for a neural networks foundation! Some of the concepts are repetitive from Andrew Ng's Machine Learning class, although I would say it's good practice to go through them twice. Loving the homeworks using jupyter lab - they are more relevant to today's work than the Matlab psets from Machine Learning.

As someone with a background in machine learning and statistics, I found this intro of deep learning to be very interesting. The eureka moment for me was when I realized that the neural networks presetned are basically the composition of generalized linear models. Looking forward to the next course in the series.

Excellent videos! With this help it was possible to implement my own neural network class. However one thing: I'd prefer the assignements to be less strictly structured. For instance the caches in week 4 gave me a hard time. Of course, it's more difficult to automatically validate correctness of the results then.

Andrew Ng is an incredible teacher. While you don't have to know all the details to do well in this course, it includes many of the little features needed for a broad range of deep learning projects and applications if only taken a small step further. I enjoyed this immensely and am excited for the second course!