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The practical exercises are the major takeaway from this Neural Network and Deep Learning course. Looking forward to for further enrichments.

Nicely organized course. Easy to understand. The programming task is well structured. Strongly recommend for anyone who starts deep learning.

I liked it as much as Andrew's course on ML. The programming exercises are perhaps a bit too easy and too guided, but that's a minor problem.

This course will help you learn to implement DNN in simple and easy way which other wise would be confusing and difficult thing to implement.

Clearly presented in the videos, and the jupyter-hub system is much better than the older way of doing the assignments! Much more convenient.

Easy explanation on the math behind deep learning, step by step implementation allow easy implementation without struggling to find a bug,...

This is a fantastic course about deep learning. I would say from this course, I finally understand how backward propagation works. Great job!

The lessons are really easy to follow and understand, it's has been really great being a part of this course so far and I have learned a lot.

Nice instruction from Andrew Ng! I have some experience with Deep learning, and I still learned a lot of new ideas and tips from this course!

I loved this course! I learned and designed a lot of thinks about neural networks and deep learning and I really enjoyed all this process .

Great course to extend what I learned in Dr. Ng's Stanford Machine Learning course. Higher relevancy becuase this is coding in Python also.

really worth learning, I used to study deep learning in school, but when I retake this course, I realize I'm missing a lot of things. thanks

This is a step by step hands on Basic course on Deep Learning. Even the Linear Algebra and Matrices have been made so simple to understand.

I really enjoyed this course.. you just need to understand concepts clearly till week 2.. then its way easier to understand the next 2 weeks

The course is an excellent introduction to deep learning. It taught me to build a simple neural network. The theory taught is really amazing

The course provided a satisfactory introduction to neural networks. The material was concise and effective in presenting the basic concepts.

The course serves as a great entry point to Deep Learning with providing mathematical background and explanations along with the algorithms.

Great experience. All concepts are covered gradually which makes it easier to follow. Thank you Andrew N.G. as this is teaching at its best.

Amazing content, properly explained, best part is their programming assignment which makes you get the feel of machine learning application.

This course gave me a very strong understanding of the basics of Neural Networks and Deep Learning, and how to implement it by using python.

Excelente curso. Considero los laboratorios bastante valiosos. Estos me ayudaron a terminar de entender cómo funcionan las redes neuronales.

Good Start ! The way Course as build and course structure is great. Thanks to Andrew Ng for assessing and made topic clear. Looking forward.

jupyter notebooks are the best. very pratical way to learn and see for your self the results, and most importantly, debug your own mistakes.

I'm quite impressive this course because professor talk clearly about concept;even though he speak in an undertone, and assignment is great.