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".

This the best course by far. The short tutorials were the best part of the course, as it never bored me while watching them,It's short and effective. It was really fun solving the assignments. I can now understand deep learning concepts with ability to solve problems.

Andrew Ng sir you are such a perfect and simplified personality. Sir, I love this course. The teaching style and pattern is amazing; even complicated topics like deep neural networks become easy for me. Thank you so much, sir for this.

See you back in the next course.

This course is well designed and very helpful for absolute beginners for starting their career in Deep learning and Neural networks. I appreciate the efforts of instructors and mentors for helping me during any doubts. Thank you deeplearning.ai community and coursera.

Very clear, engaging, easy to follow. An excellent introduction. Also, the coding style is 5-stars: it strongly stresses good factoring (defining many small, easily testable functions which each execute one task well, and combine them to get a working, bug-free code).

This course is one of the perfect courses on machine learning available over the internet. It has the perfect balance of amount of video lectures, reading materials and practice problems. Hence, this never bore you down by just including reading materials or lectures.

Another Wonderful course. And I am looking forward to the rest of the courses. If there is any suggestion, that i can give is to provide more challenging programming exercises. Also include discussion on hardware, GPU, CPU, and software and frameworks like Tensorflow.

Andrew Ng made the course really simple to understand. But I would add that before doing this course, it is better to do some courses or tutorials on Linear Algebra, Logistic Regression and Gradient Descent so that you have a good foundation to understand this course.

Thoroughly enjoyed the course. Lab feedback within minutes is pretty cool. Using vectorization for forward and back propagation, deep nets (L), and simpler non-linear activation functions, e.g., relu, is quite a change from my earlier exposure to neural nets in 2003.

From these courses, I've learn lots of things such as logistic learning model, L layer nerual netword, and backpropagation and so on.However, I still have a few confusions in backpro and have little confidence in programming. Anyway it's fine, I very love the courses!