This course provides a great overview of the classical statistical learning, classification, and describes the transition to the backpropagation e feedforward neural networks approach.

Informative and practical with focus on deep learning itself. Learners don't have to deal with setting up the software environment (e.g. installing python, libraries, jupyter notebook)

Wu provided a widen horizon of the deep learning knowledge and let us enjoy the course. I love the exercises which make me have a good command of the knowledge. Thanks Wu and his team!

it is a great course. The assignment is a little hard than the lecture. I don't think I know how to build a deep neural network model. I need to redo the assignment again to master it.

Clearly explained, in great detail. Easy to follow. Assignments led to a practical understanding of the material. Excited to take more courses in this specialization from Professor Ng.

If you are willing to understand & learn the theory behind neural network & deep learning with focus on practical assignments then this course is for you. You should always be curious.

Great introduction to neural networks and Python. Although calculus and linear algebra are not prerequisites, students might want to review the fundamentals before taking this course.

Excellent introduction to deep learning with a fair deal of math to explain the workings of the black box. I enjoyed the programming assignments to set up neural networks from scratch.

Thank you Coursera for letting me to enroll at lesser price bcoz of poor background. It happened just because of you. And the course is awesome I really enjoying it. Thanks once again

Good pace, easy to follow, detail-oriented making us understand much better the particularities of vectorisation on code, broadcasting and implementation of neural networks in Python.

Walks you through the implementation of basic learning algorithms using neural network with several layers. Assignments are pretty easy if you can program, but are very well prepared.

Easy way to get started in NN and DL. But, in my opinion, having a basic knowledge on Linear Algebra, and Calculus (specially differential calculus) would help understanding in depth.

Love the classes from Andrew NG, easilly the best teacher I have ever had!

But a serious problem with the videos is... the notation! It's super hard to identify w against W or z from Z

In this course, you will see the concept, algorithm, and fundamentals of deep learning. Then, you will code the algorithm in a simple and optimized way. Very interesting and fruitful.

It is a basic course, but complementary, you already need to know about the subject! It is a amazing course, since the videos to the quizzes and programming tests. Highly recommended.

An extremely comprehensive course on neural network ! I highly recommend this course to anybody interested in the topic. I will definitely continue the specialisation. Good job guys !

I love Andrew and the way he broke down complex subject of neural network to accommodate people like me with no real background in STEM. This is a wonderful course. Highly recommended

It covered the necessary basics of deep learning and through understanding of backpropagation. Assignments are very easy. please make it hard. Instruction and lesson quality are good.

Very decent course and materials. Explained everything in detail. I would say Dr. Andrew Ng overdid it. Some stuff are explained like 4-5 times so even idiots would understand it. lol

I loved this course. Everything is intuitively everything was explained. The best part is all those tough-looking equations makes complete sense now. Couldn't ask for a better course.

Andrew Ng is one of the best instructors of AI. I just love how naturally he explains every aspect of writing a NN :) I'm really grateful for being able to join his class on Coursera.

Course was taught in a way that with each Lecture concept was very much clear and precise. Programming assignment was made such that we got incremental knowledge with each assignment.

as always , andrew ng courses concentrate not only on the programming aspects but also on the mathematics behind it . looking forward to do the next courses in the this specialization

Good Course. Good learning experience. Thanks to Prof. Andrew for explaining the concepts so well. Programming assignments were both interesting and well designed.

Thank you Coursera.

It was great learning experience. Course contents were really good enough to give insight of concepts taught by Andrew. I personally thank Andrew N G for elevating my knowledge level.