Great course! Teaches you deep learning really from the very basics upward. Only the last homework was a bit tedious... basically you gotta do everything twice on two different jupyter notebooks....

Thank you so for this wonderful course. Thank you Andrew Sir and the entire team. The forum especially is very lively and helpful. Thank you for making my learning experience exciting and brilliant.

The course is fantastic, and Andrew's teaching is unique. Sometimes it gives the impression that things are not falling into place, but in the end, everything fits together and makes a lot of sense.

Good course to revise or learn about key low level concepts of neural networks. Very good introduction to Neural Networks with one of the best lessons about forward/backward propagation I have seen.

It is a properly structured course. Able to learn and understand without any ambiguity. Easy way of learning is demonstrated in this course. Thumbs up to Andrew and team. Great effort. Thanks a lot!

The best and simplest neural network course i have come across. Andrew Ng makes the mathematical concepts subtle and understandle. Neural network for me is no longer a black box.

Thank you Andrew Ng

Course content and the pace is very good. Only issue with notebooks on programming exercises it does not save at times, will have to make sure every time we save it so that we do not loose our work.

Excellent course that is taught with careful consideration by Andrew Ng. Highly recommend to anyone who is looking to enter the Deep Learning field. Explanations are excellent and easy to implement!

This course is very helpful when one is trying to learn the fundamentals of DL. Although I have been long familiar with Artificial NN, I found it quite useful to brush up on my skills and knowledge.

An excellent introduction to Deep Learning. It starts from the ground up, building a neural network from a series of functions. It also provides a basic introduction to Numpy, which was very useful.

This course introduces neural network and back-propagation algorithm in a very neat and structured way, and helps a learner very easily understand the initiative, purpose and method of the approach.

Nicely designed course for beginners. The way in which concepts are explained is very easy to understand. Practice problems and assignments give chance to apply theory and clear idea about concepts.

Andrew Ng. will guide you how to build a neural network from scratch, understand under-the-hood theory and totally blow my mind. Now I can grasp the basics and move on to the world of Deep Learning.

Nice in-depth follow-up of neural networks in the introductory Machine Learning course, and the python/jupyter notebooks are very convenient. Nice, clear explanation of backward propagation as well!

Great materials, the course is exactly what I was looking for. You get detailed explanations about how neural networks are built and get to program it yourself in python (with help).

I recommend it !

The lecturer are quite detailed that help me to develop intuition on designing a NN system. I love the format of programming assignments that gives me the step by step guide to implement the design.

Prof. Andrew lectures are very lucid. The assignments structured very well and they have the right level of assistance. Assignments really helps in digesting all the concepts taught in the lectures.

Love Andrew Ng, this was an awesome experience; so inviting, welcoming, and accessible. He's an amazing teacher with such a knack for breaking it down! Will definitely continue with this curriculum!

As expected, exquisite!

I had great expectations, as I had done the previous course abou neural networks with Dr. Andrew NG, but the evolution of the technics and contents really took me by surprize.

Professor Andrew Ng shows great excitement in his classes and that motivates you to keep working. Assignments are very well orientated (maybe too much? ). Loved the Deep Learining heroes interviews!

Very good way to get yourself familiarized with DNNs. For me with R , calculus and linear algebra background it was nice to learn both Python and get decent overall understanding of the basic DNNs.

Un curso que te lleva de la mano y que está explicado de manera ligera. Mi recomendación es hacer un repaso de álgebra lineal antes de tomar el curso, ya que se requiere para entender los cálculos.

Not only the course presented was beautiful but also easy to understand. The assignments were to the point and cleared all the doubts and insights. Thankyou very much sir for this wonderful course.

Professor Andrew Ng is an excellent lecturer and the course is extremely well-structured. This might be the best learning path through Deep Learning (DL) to clearly understand the topic. Thank you!

even i faced into Deep-learning things in my first time through this course, not hard to understand how it works and do a code by myself.

Thank you so much for providing such powerful acquaintance !