A very good introduction to neural networks and deep learning. It's approachable, yet has enough depth to provide an intuitive understanding of how neural networks are constructed, function, and how they fit into the task of deep learning.

The Neural Networks and Deep Learning course exceeded my expectations, providing a comprehensive and engaging learning experience. I highly recommend it to anyone interested in exploring the fascinating world of artificial intelligence.

Course is very well organized. Assignments are created in a way that the whole theory part is covered. So no need to memorize theory by hard. Assignments allow to understand the concepts very clearly. Thank you for conducting this course.

The course does a great job at explaining all of the details! I took the Machine Learning course from 2011 and I had no idea how the derivatives worked as I haven't taken calculus yet but this course makes it so much easier to understand!

This course gives state-of-the-art technique and intuition on deep networks. Thanks a lot for the clear explanation and intuitive slides. The programming part was very easy compared to Machine Learning course but gave hands-on experience.

Such a great introduction to deep learning! I was part way through Andrew Ng's machine learning class before starting this. I'd say this help supplement that. But this is definitely a course you can start with right off the bat no problem.

Excelente curso, completo, didático e rico em informações. Perfeito pra quem está começando na área! Sou extremamente grato à Coursera por ter conseguido cursá-lo com apoio financeiro, sem isso não teria conseguido pagar o curso. Obrigado!

I

was initially very skpetical about this course, bcz I had heard too much about it, and I thought it might be too much, but the way Andrew taught Lin Algebra, forward propogation and backpropogation, I felt like it was a dream come true!!!

Fun course...it makes sense for it to be the first course.

Overall I really enjoyed the series, but I have to say the Professor Ng's Stanford course made a world of difference. I recommend it for anyone looking to learn or go deeper in ML.

I really liked this course. Good explanation in videos, but the most of material i learned during practice in jupiternotebook. Great program assignments, there are a lot of explanations what each part of code does, this helps a lot. Thanks

An exceptionally well organized course which never loses its interest even for a single moment. I am totally a fan of Andre NG and love his brevity and clarity which he express-fully uses to make the course stimulating. Thank you coursera.

Great course which gives me an in-depth understanding of deep neural networks and deep learning processes. The course is not hard, but very informative and easy to understand. The "Heroes in machine learning" interviews are very inspiring.

This course is really valuable! Although I got few Deep Learning knowledge before taking this course, the thorough explanation by Andrew and the exercises have helped me more familiar with the implementation details. Strongly recommend it!

Great step by step instructions, the videos can be on the dry side at times, but taught very concisely, and I found the programming exercises very informative, not too frustrating or too easy (for someone who isn't familiar with the topic)

The course assists in developing an understanding of neural networks. The course covers basic concepts and implementation of neural networks. It is definitely a great course if one wishes to learn about neural networks and its application.

Though a little heavy on mathematics, the course materials helped me understand the basic concepts well. The interviews with the Heros were very motivating and encourages research in AI. Thank you very much, Andew Ng and your team members

A great way to dive into Deep Learning. The course not difficult and it gives a great introduction as to how neural networks work. If you're like me and like to understand the theory before learning any framework I definitely recommend it.

This is a good introduction of deep learning. I can understand what is deep learning. The good point is that the instructor explains the procedure of deep learning by using mathematical language. This leads to a clear understanding for me.

Really cool series of lectures, especially explanations and implementation guidelines on backpropagation and gradient descent method. Wish more and more courses been added on more recent neural networks, such as GAN, Transformers, and etc.

Assignments really helped me to get into the nitty gritty of the internal deep learning layers . How the nodes , activation functions , Weights and biases , forward & backward propagation works together to achieve the desired result .

There are a lot of deep learning videos on the internet, but to really learn how to build one is not easy. I like the arrangement of the materials and the step-by-step Jupyter homework. These are really helpful for learning implementation.

Coming from Andrew Ng's Machine Learning course, I already knew the superb quality of his lectures. Once again, this course exceeded my expectations. It is outstanding and a must if you want to learn the "hows" and "whys" of Deep Learning.

Great course! Good idea to break down the complexity of NeuralNets implementation into meaningful building blocks to see how they fit together. Also, the exercise of implementing Regression with a Neural Net mind help connecting concepts.

Extremely good course. Prof. Ng takes you from the very basics to quite advanced concepts in a very logical and easy to understand set of steps. He is a great teacher!

It does help a lof if you are familiar with python and especially numpy.

thank you for providing us with this very high quality course

if you want to learn deep learning , you should start here

I suggest to complete the first three weeks of machine learning course for same instructor before starting this course