After a long break of roughly 6-7 I just resumed my journey in the area of ML/AI. I still was able to refresh my memory and gain new knowledge. This course is a great addition to the course "Machine Learning". What can I say, Andrew is the best. You are a legend.

This course is very unique as it explains what most other tutorials or courses try to evade - the mathematics aspect of neural networks. For those who are enthusiastic about what's really going on in shallow and deep neural networks. This course is home for them.

Andrew gave a clear view of deep learning. At first, I think it would be something that is really harder than I can imagine. But its concept is actually easy but smart. The assignment is not too hard and makes you get used to thinking in the deep learning aspect.

I enjoyed solving the assignments. They are essential for the better understanding of the topic. The best way to learn something is by doing it yourself. Since I am from non-computer science background, this course helped me to work on my master's thesis. Thanks.

This is an excellent course to get your hands on the basics and practice neural networks in code. One of the key take aways for me was that it enabled me to do vectorization in code which always seemed like a big deal when I tried playing with neural nets before.

Very insightful course. Cannot stress how important it was for Andrew to go from the very roots of the mathematics up to building your very own NN from scratch. Really helped with the overall comprehension of what an NN is and how it functions at the basic level!

I already have practical experience using neural nets with the keras/tensorflow framework. Nevertheless, this course has further improved my insight in the mechanics of neural nets, as you are forced to build neural nets yourself from scratch. Highly recommended.

A really good course to start learning about neural networks. Will definitely continue and try to finish all the courses of the specialization. However, the assignments are kind of buggy at times and the overall experience would be better if these bugs are fixed.

I would recommend this course to every one because it covers the basic concepts of deep learning in a detailed and comprehensive way. I have learned a lot in this course. This comprise of forward propagation, back propagation, cost functions deep neural networks.

On week 3 so far-- this course is very well-structured and friendly to a broad spectrum of students (simplified visualisation: Python skills on one side, theoretical knowledge on the other-- both extremes can easily navigate this course and learn a thing or two).

It is a very carefully designed course. The learner can learn with minimal effort and time. The most important thing is this is not a theoretical course only. The student will be instantly prepared for implementation of a deep neural network in his/her workplace.

Authorative advice from Andrew Ng about on choice of activation functions, how to understand backpropagation and how to code it all up using numpy. Coming from Keras and tensorflow, now I understand so much more what happens under the hood in the software I use.

Dr. Ng is a great teacher, with clear explanations and plenty of intuition to back up his mathematical explanations. This course teaches techniques that are the basis for state-of-the-art results and shares current best practices gleaned over years of experience.

Excellent course for a non-statistics background person like me. Earlier I used to use Deep Leaning API's in Keras and Tensorflow as black box, but now I really understand the intuition behind the deep learning algorithms and understand how to use and tweak them.

This was my first online course on Coursera, and I really appreciated the content, the way it was delivered and the level of the online exercises. As a VP of engineering wanting to get a better, hands-on understanding of neural networks, this course was perfect.

I have been following this course and I was really impressed by the depth of the details provided. I was also reading another book at the same time that didn't go in such details. This course allowed me to understand the reasons behind certain parts of the book.

Awsome1 Filled with deeper details about deep learning models. You get to implement models from scratch without using TensorFlow or Sklearn hence getting a better sense of what's going behind the scenes. Thanks a lot, Andrew Sir. I truly appreciate your efforts.

Muy bien estructurado el curso, la forma de explicar, traducciones y forma de armar el curso es remarcable. Las tareas, formas de corregir y tiempos son ideales.

Es necesario un conocimiento básico de Python y nociones de cálculo para poder entender bien el curso

Fantastic Course by Dr. Ng. The lectures covered the concepts well and laid good foundation for understanding deep neural networks. The exercises are commendable and provide a good platform to apply learning from the lectures. Overall, a good foundational course

Every thing with this course was amazing,

The great Andrew Ng is awesome.

(The only problem was that, at the end the network predicted my own image as a cat! :D )

You are great coursera,

You are great deeplearning.ai.

Many thanks for the course and the financial aid.

This Course easy to understand. Deliver very clear explanation about the foundation of Deep Learning. The Exercises are also very helpful to strengthen the concept in my mind, since the template code are very well commented and provided with some illustrations.

Really great course and a natural follow-on from the original Machine Learning course from Andrew. I would say if you have done the original Machine Learning course, this first course will make a lot of sense and will be quite simple and really build confidence.

Good iterative model, exercise component was helpful. I don't feel like I have enough practice with neural networks yet to say I am a practitioner, but this course certainly introduced me to the key concepts and gave me a sense of accomplishment to build off of.

Such an amazing course! Each week builds upon the previous week and does so in a way that reinforces concepts. Also, an underrated part of this is how well it teaches numpy and speeding up your python code. Overall, this is my favorite course I've ever taken.

It was one of the best learning processes in my life. I got to know a great sense of Machine Learning, and most importantly Neural Networks and Deep Learning. I am so thankful and grateful to Andrew Ng. He is a great mentor, great instructor and great motivator.