Very good ! I really enjoyed this course. A little difficult to get started maybe, and a lot of complicated notions (at least for me), but the teacher is very clear, and the examples and notes makes it relatively easy to follow anyway. Plus the programming exercices are quite fun. Thank You !

This training is amazing. I had recently followed some trainings related to Tensorflow and refreshed my mathematic skills and I wanted to go further. Coding deep neural networks from scratch helped me a lot to improve my understanding. Thank you very much for your work ! Sylvain from Belgium

While I am not new to Neural Network, this course gave me an in-depth understanding of the step-by-step process involved in building a deep neural network using basic Numpy functions and Vectorization. I recommend it for anyone that is interested in understanding the nucleus of Neural Network.

Truly an amazing course, if someone wishes to understand the very basics of how Neural Networks work, it is a perfect course to be enrolled in, every tiny detail is covered and taught, not only that but the assignments are worth the effort, I enjoyed the assignments most throughout this course

I am an "old timer" with about three decades of programming with 'C' ( mostly Unix and Linux kernel level code )

I didn't know Python at all. However, this introductory course to NN and DL changed my opinion of Python. Its amazing to be able to do so much with so little coding. I am a convert !

The content, examples, assignments, and quizzes are thoroughly developed. All the courses of the specialization share the same notation and lead a student from basic concepts to complex ones helping to develop an intuition on each step. The best course on topic of Deep Learning one could find.

It's a very good course both conceptually and practically.A lot of doubts were cleared ,especially rank 1 array in python ,broadcasting in python ,vectorization .

Also forward and backward propogation how it's happening I understood it to a lot of extent.

Very nice course and beautifully taught.

The teacher is amazing and the course is very well taught. The assignments are very thoughtfully prepared. I had to visit the videos many a times in order to complete the assignments. Overall its an excellent course and I feel very confident about understanding and using ML with Deep Learning.

Thanks to Andrew Ng's amazing teaching. He is an inspirational teacher and a person. What i most like about the course that it dealt with the math very well. So everyone out there who seeks a course in Deep Learning that deals with the math and that to very well this is one of the BEST course.

Great for clearly explaining the underlying workings of things without going deep in to the algebra. I did this after the Coursera/Stanford ML course and - I think, as a result - found it pretty straightforward. Working in Jupyter Notebooks rather than in Matlab/Octave is _much_ nicer! Thanks!

This is the best introductory course to neural networks I have seen so far; the scope covers all the fundamentals, the depth of the math is very balanced and the communication style is clear.

I would have liked a little less hand holding in the exercises (but that may be a personal preference).

¡Fenomenal!, La explicación es buenísima y empieza desde cero con las redes neuronales. Pero es importante al menos haber tenido conocimiento en Machine Learning y programación básica en Python. Me encantaría que los vídeos sean un poco más dinámicos, pero por todo lo demás. Estuvo muy bueno.

Big thanks and appreciation to Sir Andrew Ng. After completing this first part, made me feel comfortable to proceed to the next part. I really like the way the course conducted. Systematically from a simple example to a much more advanced example (also when it comes t programming assignment).

It is a very good introductory course. Andrew Ng (the instructor) explains it in a comprehensive and enjoyable way. Even if it is a theoretical course, based on how the Neural Networks works (not just throwing lines of code like a black box), it has a good balance between theory and practice.

Excellent Course. Amazing Instructor. The interviews with Deep Learning Heroes at the end of each module is a great addition, an amazing treat after getting through the math and programming aspects of each topic. Thoughtful and carefully structures content and assignments. Superb Instructors.

This course is outstanding. It has helped me in understanding Neural Networks as a beginner. The exercises are also good, they proved to be quite helpful in understanding the basics of neural networks and implementing them. If the instructor is Andrew Ng you can't have anything below perfect.

Fantastic course with fantastic explanations and examples. Even though this is a very complicated topic, Prof. Ng manages to explain it systematically and clearly. Personally I find that there is just a bit too much hand-holding in the programming assignments, but overall the course is great!

This is a fantastic course which helps us learn/revise the basics of a neural network model. We also get a hands-on experience of using python for modelling ML algorithms. Vectorization, derivative based optimization and other basic mathematics related to deep learning are covered very well.

Thank you again for the great learning experience! The course is well organized, the teacher taught very well, the quizzes matched well with the content for the week, and the programming assignments had very clear guidance. I thoroughly enjoyed it. Thank you very much and have a great day!

Excellent course, guiding you from the very fundamental math basics to master neural networks all the way to having a multilayer neural network. Also shows the performance of your systems on real imagery (including your own), which gives a sense of how your network might perform in real life.

This course taught you very fundamental knowledge about neural network. You should be able to create a neural network with any depth, calculate forward and back propagation to train it for a regression or classification task. The programming assignment will help you build very clean code too.

Course is really good. Prof. Andrew Ng's teaching style, as always, makes this (very confusing and math heavy) subject very intuitive and easy to understand. I am glad I took this course.Looking forward to see more advanced, rigorous courses on ML, DL and Computer Vision from Prof. Andrew Ng.

Theory very nicely explained in the videos. Fun to complete!

I would like the programming assignments to be done locally on the student's computer instead of jupiter notebooks. I think this would help have a better global picture of what is going on especially in the deep neural network cases.

Awesome video materials, jupyter notebooks, quizzes and interviews with big names of the field. Also the way of the content is presented is very well explained and give many opportunities to the learner to investigate further and try to implement it's own algorithm by hand. I enjoyed so much.

Professor Andrew Ng is very good with his explanations and elaboration on intuitions. Course assignments were really rich with clear instructions. They give lot of confidence in terms of applying Neural networks to basic problems. Loved choice of working with python notebooks for assignments.