One of the best courses I applied for because I learned much about the details of deep learning.

The best part of the course is that you work on quizzes and assignments which makes me get a good understanding of the topics, which I liked the most.

What a wonderful, in-depth and elaborate course. This course doesn't shy from the Math. You also get industry insights from Prof. Andrew NG's practical experience from working all these years. The assignments, quizzes and videos are all worth it!

Very good coarse, provide alle the necessary information plus some additional info for those that wish to go beyond. Pasing is phenomenal and allows one to go as fast as he or she pleases. Overall, very happy to have done it. Up to the next one.

One of the best Professor in the field of AI. I was really thrilled to get this course and at the end I thought every time I spent on this definantly worth it. Even thoug I got Deep Learning course in my Master it was a great refresher training.

I learned a lot for things which made my concepts even more stronger. I Really enjoyed the course and it made me better at my job as a data scientist. I higly recommend it to anyone who is working or who is aspiring to work in Data Science field.

Great course! Provides an comprehensive, detailed yet easy-to-understand description of Deep Learning Networks. The quizzes and Programming Assignments are thoughtfully designed to facilitate a deeper understanding of the application of concepts!

The course was very helpful in introducing to the world of Neural nets. The focus on the mathematics behind the models to have a fundamental understanding is really good. The programming assignments were very useful as well as concise and clearn.

Actually, it's quite easy for me because I've already learned about it before, but this course offers me a different view, which is very inspiring. I am an image processing researcher, and this time I decide to study deep learning systematically.

I sincerely thank Dr. Andrew Ng and his team for putting so much effort to make such high quality online courses. The learning experience is the best I have ever had and I look forward to more of their courses.

In one word this course is "PERFECT"

That's really a fantastic course I've ever taken on Coursera. Andrew Ng gradually illustrates the theory of deep learning from a single neural network logistic regression to building a L-layer neural network. That's impressive and helps me a lot.

I enjoyed to programming assignments a lot. They are intuitive and avoid waisting time searching for nifty details. Some might say these assignments are easy. However, there purpose is to learn the structure of the model, which it does perfectly.

The videos are very good, but this course is not for beginners about Machine learning and Deep learning because it contains many math and statistic terms, algorithms.

The practice assignments with Notebooks are cool with really helpful guidelines.

This course gives a good understanding of the very very basic concepts of Deep Learning. It's an excellent course for a newbie like me. Andrew Ng clearly explains concepts like gradient descent and I never felt the need to go revisit my calculus.

It helps a lot to go slow at the beginning and get the nitty gritty of implementing the first Neural Network such as dimensions etc right, to get the first implementation right. I am happy with the help to the course provided in getting started.

This training course was incredibly useful for me and taught me very valuable content. For this educational experience, I am grateful to Andrew Ng, Coursera, and Kian Katanforoosh. Deep learning has the potential to revolutionize my career path.

This is an excelente course! Great videos and very well planned assignments. I was amazed as I built from scratch an image recognition script. I would warn that it contains quite a bit of math. As a biologist I was able to handle it well enough.

Very nice and useful course to understand inner workings of the Neural Networks. Prof. Andrew Ng covers perfect amount of theory which is accompanied by lots of hands on exercises and tips. Looking forward to next courses in this specialization.

It was a good course. I appreciate the detailed programming assignments. They were challenging but also well-guided. I'm sure I will refer to the instructions in the assignments as a guide for my future practices as well. Thank you Dr Andrew Ng!

Thank Andrew and the team, your course is a very friendly start to any one who want to learn and apply Deep Learning, I found the course very handful, because it explain the big picture of Deep Learning and open the door for more specialization.

I really enjoyed this course. It quickly helped me review some of the concepts I learned from Graduate school many years ago. The coding assignment also helped me understand the logic in coding for a DNN and review the concepts again. Thank you!

The course is very easy to follow. It peals the complex problem of deep learning layer by layer to the basic steps. Working through the basic steps of building a deep learning model really helped my understanding of the neural network algorithm.

This course gave me a good understanding of how to build shallow and deep neural nets from the scratch. Prof, Ng is an excellent teacher. Doing the homework assignments and quizzes gave me the confidence that I understood the concepts very well.

I really enjoyed this course on neural networks and deep learning. Through this course I have got a very strong intiuition about deep neural networks and I really want to thank the instructor Andrew Ng for explaining all the concept really well.

This course is amazing even for beginners. Initially its tough to grasp the concepts and notation all at once but with perseverance it can be done. Also the way the course and the assignment are structured is what makes this course outstanding.

This very basic course opened my eyes towards deep learning. Only of the best course that explain deep learning concepts. Note: It is only for concept and understanding them with code. In real time we will not be using numpy for deep learning .