Very well structured course. I particularly like how the assignments were in jupyter notebooks. The content was relevant and the course was explained very well

A lot of interesting and relevant details. Loved doing the programming assignments in Jupyter notebooks - gave me a good feel for how to implement neural nets.

the class is really easy to follow and modularize the code which give me a great framework to understand and remember the steps to build a deep neural networks

A solid course, it reinforced my knowledge of ML. I liked how Pr Ng breaks down each concept, to make them more digestable. The pace of the class was on point.

Pretty in depth and gave a good enough thorough understand. The way the assignments were structured was not too difficult and allowed it to be easy to pick up.

Amazing course. The best part is that the mathematical intuition is made solid by not allowing usage of deep learning libraries in the programming assignments.

Great course to get an understanding how neural networks work and are implemented.

The only drawback is that I found a few code "mistakes" in quiz assignments.

The lecture and assignments help me to understand the concept of Deep Learning. Thank you Dr Andrew Ng for explaining deep learning in easy way to understand.

Brilliant! Andrew is not only a great scientist but an awesome teacher. I can literally start applying all that I have learnt to projects that I am working on.

Very good! This course will bring you to the edge of not so easy and not so hard. You'll find yourself enjoyably squeezing your brain power for multiple hours.

Clean mathematical explanation and easy to grasp for beginners. Best neural network course online!!

Personal tip : Learn basics of python (just syntax will do).

Excellent first course on Deep Neural Network and a very good transition from the "Machine Learning" course from Andrew Ng that I took a couple months earlier.

Ótimo curso, aprimorei muito minha base de Machine Learning, entendendo matematicamente tudo o que fazia já há algum tempo. Agora tudo faz muito mais sentido.

from this course I have learned not only the useful theories but also a lot of practice skills, its very good for a beginner of neural networks to start here!

this course provided me the step-by-step in the introductory basis of deep learning methodology , allowing me to be passionate about deep learning specialist.

Very simple and well structured course, it's a great mixture between theoretical content and practical content. Really I like it so much ty (Sir, Andrew NG).

One of the most interesting courses I have ever taken.

A great course to get into the professional field and have an interesting idea about building NN models.

Excellent course, learn a lot about the algorithms behind neural networks. Love the way professor Andrew Ng explains everything and the assignments are great.

Very nice course, even the people without any basic knowledge about Machine Learning and Linear Algebra could understand the contents very well. Thanks a lot.

It is a very good introductory course that covers the important aspects of applied neural networks. Thanks to everyone who has put an effort into this course.

The course content is amazing, it builds your knowledge from basic logistic regression to neural network. Assignments make sure that you write efficient code.

This course really provides clear explanation of the fundamentals of neural network, along with the coding practice to implement them in Python. Great course!

I plan to complete all 5 courses the first course was pretty basic if you have previous knowledge of the subject like you don't need to watch the videos even.

Thanks Sir.Andrew and coursera for giving me the opportunity to learn this course. I liked the content of this course and I enjoyed myself during this course.

Great introductory course. Heard a lot of terminology flying around at work related to this topic, and many things have now become clearer and more intuitive.