An excellent and amazing course to understand neural networks and Deep Learning! Forever grateful and thankful to the most amazing instructor Prof. Andrew Ng for explaning the concepts in intuitive and easy way without getting too much lost in maths!

One of the simplest and most intuitive introductions to machine learning and Deep Learning I could ever have. In spite of this I would like to make a suggestion to include possible rectifications to our code in case of errors by the automatic grader.

The course is simple to follow as it progresses from the fundamentals to more advanced topics.

This is an excellent introduction to deep learning.

I did not complete the original course everyone mentions (yet), so I do not mind the overlapping content.

I was initially scared by the complexity of machine learning. Andrew's lecture is very properly paced and the programming exercise is so well designed. This course is a very good entry course for anyone who wants to learn about Neural Networks and ML

A thorough understanding of deep leaning basics is acquired here. Brilliant teaching by Andrew Ng as always. The programming assignments are also very beginner friendly (but you can dig even further if you want!). Really suits an introductory course.

This course helps the learner to understand the basics of how a neural network functions. It is designed in a way to help increase the learner's confidence in building neural networks by guiding him/her step-by-step through the workings of the model.

Basic blocks of Neural Network, Mathematics behind it was explained in detail and in lucid language. Could connect missing dots, which I had prior taking this course.

Would request to add Deployment of DL models course as well in this specialization.

Really enlightening and insightful experience for a seeker of deep learning covering all the concepts minutely along with exciting exercises and lucid programming examples to help build a grasp on the basics of neural networking and its fundamentals.

This course is challenging to me but the videos and the assignments are presented very clearly and reasonably. Thanks to Andrew and the mentors. I learn a lot and I hope my continued learning in the later courses can help me to solve my real problem.

This course gives me a clear idea about neural networks. Explanations and assignments were excellent. I learned a lot from the assignments. Some basic knowledge of Machine learning and basic python programming might be a prerequisite for this course.

This was such an amazing experience. I had watched a few videos on Logistic Regression by Professor Andrew on Youtube. His explanations helped me understand concepts then, now and I know it will, in the future too. Excited to take up the next course.

Really well laid out and explained content. Gives a deep fundamental understanding of the topics at hand.

Assignments are a bit too easy due to the extensive documentation, which could be made a bit more challenging.

Had a great time doing the course!

Excellent course to gain in-depth knowledge of neural network. The lecture and programming assignments are well structured. I learned so much from the basic concept to the core technology of neural network. Professor Andrew Ng is truly inspiring.

Excellent supplement to the machine learning course on coursera from Stanford online. High level of quality in terms of practical applications and detailed understanding of deep neural networks. Curious to follow-up the second course on deeplearning!

It is a great course and learnt a lot. I spent so much time and effort for Python notations. It is a prerequisite to learn Python to get much more benefit from deep learning

many thanks to community and great mentors which makes the life easier. 🙏😊

Very Straight forward and easy to understand. Not too much in depth explanations (which is a plus in this case). If you want to understand the exact maths behind everything then maybe look at another course. But definitely a fantastic place to start.

This course talks about deep learning and shallow and deep neural networks. It makes me better understand the differences of concepts about neural networks in machine learning and deep learning. It also helps me review the knowledge about derivation.

I had started my journey into deep learning as a noob and now i feel confident of the concepts that I've been developing over time. This is the first time I could be confident while answering the questions. All thanks to the best professor Andrew Ng.

Andrew and team put together such a great resource. I am an machine learning engineer and thought I would just go through this courses to familiar with the terminology in English, but I learned so much more than I expected. Andrew is a great teacher.

I have previous experience of implementing Neural Networks from scratch. But this course really changes the game with its simplicity and the way Andrew Ng presents not so trivial concepts in a simple way. Very informative and highly suggested course.

Great introductory course on neural nets, it gets you all needed technical background for building your own neural net and also it gives you an intuition behind the important concepts as activation function, weights, neurons hierarchy and many more.

I'll give the course 5, myself 4. I took A. Ng's earlier Machine Learning course which covered neural networks. This treatment was better still than what was done in that course. That it was done using Python instead of Octave made it even better.

Excellent course!! Mathematics behind the neural network is explained nicely. Smart selection of notation, this helps to simplify the equations. Andrew Ng's teaching style is great, also the staff who structured the assignments have done great job.

Really amazing for building deeper foundations of deep learning. Andrew Ng really makes things easy to learn and understand for others. Andrew Ng is really great at teaching. I'm really happy to take this course and will recommend others to take it.

Dr Ng is a great teacher. I wish I could have done better in the beginning, but I am new to Python and Deep Learning. Anyway, I will complete all courses and hope to get much better at this stuff. Thank you, everyone, at Coursera. Thank you so much.