Great introduction to deep learning, and phyton, thanks to excellent video lectures in combination with the supervised programming exercises.

Another good course by Andrew Ng and his team. Excellent presentation and flow information. Very good means of presenting course assignments.

Cours très clair et très intéressant, j'ai appris beaucoup de choses dans les vidéos de cours et dans les exercices de programmation.

Merci :)

Enjoyed learning the core concepts behind neural networks, the raw calculations.

Learning about RELU and Leaking RELU was new and insightful.

Once again a fantastic course by Andrew Ng! It is a gift to be able to explain complex things in such a clear fashion. On to the next course.

I learned basic idea of Neural Networks and Deep Leaning step by step. It's important to understand data structure by trying to code example.

Good for learning basic informations about deep neural networks.

It does not requires deep mathematical skills, describes very intuitive ways.

Course is awesome. I have learned a lot of new things throughout the course. It helped me to learn how neural networks work in Deep Learning.

very good course. well-prepared videos and assignments. although I'm already familiar with many stuffs of these course, I still learned a lot

Its a very good course for those who want to learn to code a neural network from scratch. The concepts are explained in a very simple manner.

The lessons are pretty good for beginners to learn neural network quikly.And I gain a good understanding of the neural network.Thanks a lot!!

A fantastic introduction to deep learning. The programming exercises were the key to understanding good neural net implementation techniques.

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.