Almost no details were left out. Optional videos to go through some of the derivatives that were skipped during the course would be great. Also The circuit analogy comparing a shallow and a deep network can be explained more clearly with more details so it's accessible.

This course is not only appropriate for the those who study NN first time, but also for those who have a certain degree of theoretical knowledge. This course gave me some really good practice which can help me understand the usage and principal of mathematic algorithms.

It is very well-organized course for beginners of Deep Learning and Neural Network. The hand-on experience is impressive for me. One thing that can be improved is adding more proof or explanations of how to get a formula, which may make the formula more clear logically.

I really enjoyed the course. It gives a light mathematical overview for a start and interesting practice assignments. It allows you to start trying the concepts and gives you a base to search for deeper understanding of the theory and to gain further practic experience.

An excellent course. Designing and developing a Neural Net from ground up with nothing but Numpy really helped to understand a lot of tricks which would have been impossible to understand otherwise.

Learning with Prof. Andrew Ng is one of the best experience of my life.

It's not that I wasn't aware of deep learning before this course but I have to admit going for this totally made my theory of the deep networks very blunt and I learned things I never knew. My special thanks goes to Prof Andrew Ng for guiding me throughout brilliantly.

Thank you very much for giving me the opportunity to participate in this course. This was a great course. The instructor was great, and I had never been to such an extraordinary class. . I hope to have the chance to participate in the next courses of the Coursera site.

Clear, concise and properly guided course arranged to maximize hands-on implementation potential of deep neural networks. Short interviews with pioneers in the field adds to the overall experience of this course. Thank you to the wonderful team that made this possible!

This is an excellent course to get a detailed understanding of Neural Networks. Andrew has taught it in detail and with lot of patience. Views of the industry guest speakers is also insightful. Doing the Machine Learning course prior to this, helped me to learn faster.

Andrew Ng is such a natural teacher and wonderful person. I love seeing him smile all throughout the course. I initially started this course long-time back, and played around with the assignments. Now I have restarted it, and it's still a very good learning experience.

This course introduced many new concepts that taught complex math in a very simple manner. Going from basics and building on top of it helped me understand complex concepts very easily. Reiterating the same concepts again and again also helped me in grasping it easily.

Absolutely Brilliant way of explaining the concepts and build the intuition of how a Deep learning network is built. I have not become an expert, but this course has built a solid foundation on which i can start my path to be an expert in ML. Thanks Andrew.Ng and Team.

After going through this course, I have a much better understanding of exactly how forward and back propagation work. I also have the intuition around what is happening in a neural network and a sense for what it means to add hidden layers, and nodes to hidden layers.

This course gives an in depth knowledge of how to build a neural network and ultimately to build a deep neural network. It gives the skills to structure efficiently the computation of each layers. I learned about the impact of various activation function on my network.

The difference between all the courses (other than coursera) is the course takes you on a journey where you can see inside Neural Networks. It also lets you build a Neural Network step-by-step. Highly Satisfied and Recommend it to all Beginners and Intermediate People.

Coming from a much detailed course by the same teacher, Andrew Ng, this felt rather familiar, but nevertheless, equally useful. I would recommend this for the accuracy of the info, the way the data is presented and the attention to detail for the quizzes / assignments.

Gives a great foundation of the basics and intuition behind neural networks. The assignments are not that hard if you are familiar with numpy. A great extra advantage is to observe how they organize code and their function to be abstract and reusable. A big take away!!

This is great to do after fast.ai deep learning course.

You know what is happening in a NN from fastai. Then this course into the details and maths of a NN. Which doesn't feel so scary because you already what he means, you are just expressing it in a different format!

Neural networks and deep learning have been a strange subject to me for a very long time. Now that I have finished this course, I'm not only excited but I'm planning to dig deeper, learn and understand more. This course is really a gentle introduction to deep learning.

Professor Andrew is one of the best teacher I have seen till now. The efforts he takes for beginners to cope up and equally helping the advanced learners. I am learning from Ng since his CS229 course. This specialisation is very helpful for current trends in ML and AI.

I really like this course, I just have a complain, because, sometimes the notes after some video was really bad, because I can't understand more easily the topic during the video, If you can edite these videos and put some box during the video it will be very helpful.

Excellent course , in every aspect be it material, teaching , assignments. Very thorough explanation about every major concepts as well as the minor concepts necessary to know the actual working of the algorithms. Thank you Andrew ng for being such a great instructor.

It's a very wholesome course to understand the inner functioning and actual computations for the backpropagation. Very much advisable even though you know how to implement models, it will help you to understand the things better and conceptualize the thoughts forever.

I could achieve a simple deep neural network by myself and I deeply understand the could achieve a neural network by myself and I deeply understand the basic theory of neural network. I also excited about apply the neural network to classify something in my real life.

The course is awesome. It provides very useful insights into how does deep learning models work. It provides both the math aspect as well as the hands on aspect of deep learning. I would recommend this courser to anyone who wants to demystify the word "Deep Learning".