Very good course on introduction to neural network and deep learning, enhanced my knowledge of what once confused me from the machine learning course's NN chapter. Highly recommended

Fantastic explanations for math and applications! The assignments could contain a bit less supervision maybe, but still extremely helpful. I am extremely happy that I chose to enroll

This course gives a very good intuition about the basics of Artificial Neural Networks and good practice on using a shallow network, 2 layer network and a multi layer Neural Network.

An excellent introduction. Subject matter presented at a very good pace. Exercises are well presented also making review/revision of topics and their implementation in code very easy

Great introductory course, although the assignments are repetitive, I think it's a good thing - this forces you to get intimately acquainted with the fundamentals of neural networks.

The course is very well organized and we can easily understand the concepts. Will try and access the notebook and see if i can play around and improve my understanding a little more.

Really great course. I learned Deep Learning during my Graduate Studies but this course helped strengthening the intuition behind neural networks. Thanks Prof. Ng for this course. :)

I really enjoyed the course. It equipped me with the basics required to understand the working of neural network architectures. Heros of Deep Learning videos were very inspirational.

I learned a lot from this course. I had some ideas about neural nets earlier but after implementing 2 layer and l layer neural nets by myself, the level of knowledge is very refined.

Great introductory course to Deep Learning. Informative lessons and good quizzes. Coding exercises are straight forward and give good understanding of the principles of Deep Learning

Good content as usual from Andrew. However, bit of a drag for people who have taken up the previous ML course from Andrew Ng. Thank you anyways for making learning so simple and fun.

Andrew Ng is one of the best teachers for Machine learning /Deep learning and his way of teaching is very easy to grasp and implement.I am grateful to him for launching this course .

So far, I've learn a lot. Still on course. Just want to say Thanks. Would be great if we can evaluate our answers for the quizzes without paying ^_^

(Subtitles are a bit fast too X"D)

This is Great Course Material for Beginners and Intermediate Level Learners and I learnt a lot from this Course. The Tutor Andrew Ng Taught Very Well. Fell in love with his teaching

This is one of the best course that someone can get a deep intuition about how deep learning techniques apply to the real word scenarios. Foundation given in this course is amazing!

Is very intuitive and helpful. I hope the Q&A site gets better with time. They should disable the Discussion Forums here since they no longer handle discussion on the same platform.

This was an exceptionally helpful introduction to machine learning. I greatly appreciated that the exercises walked me through each step of the forward/backward propagation methods.

Awesome course! Gives you a great introduction to deep learning. I would recommend having some idea of linear algebra and a little calculus to really get the most out of this course

This course is very beneficial, explained lucidly from basics to advanced like never before. Helps in intuitive approach in python programming of neural networks. Thanks coursera :)

Best Neural Network Course. Helped me in learning the implementation of Deep Neural Nets from scratch. Highly recommended for anyone who wants start his/her career in Deep Learning.

Very well thought out course! Simple is not easy yet Andrew does a great job going from 0 to a 100 at a comfortable pace, while providing great intuition behind really complex math.

Good introduction for Artificial Neural Networks. Keeps balance between practice and theory. Provides enough mathematical background even if you are not familiar with some concepts.

It was a great course ! It sets your basics right for better understanding of concepts which are more complicated and helps us to apply the learned concepts in real world scenarios.

Excellent course. Professor Andrew strikes a perfect balance between math and programming. Also, you code a N.N. from scratch. This makes the course worthy of every second invested.

A well designied course. It gave me opportunity to reflect and relate to my graduate studies: Optimization by Chong & Zak, Matrix Computation by Watkins and Linear Algebra by Axler.