Very good introductory course on deep learning. One of the thing i like the most about this course is that it keeps conventions(superscript, subscript etc) and emphasise it multiple times throughout this course. In most texts and papers, they all have different naming conventions which confuses beginner. This course has done particularly well on this subject. Well done.

Very useful course for those who want to start their career in Deep Learning. He explained everything in a detailed manner. The assignments are awesome. The jupyter notebook guides you throughout the assignment. You will get full clarity on how Logistic Regression and Neural networks work and how to implement them. Thank you Andrew Ng sir, for providing us good courses.

just one thing: that would be even better if we had a softmax programming project after the cat/non-cat week 4 final project. I know we had an optional sample link for that but it was not clean and in general form.

Thanks to everybody that was involved in providing the course. professor Andrew Ng is amazing. by far He is the best in terms of every manner of teaching DL.

Once again professor Andrew has guided me along such a powerful course, on Deep Learning this time. This first course in this specialization it's so amazing because Andrew guides us towards every detail without making it too difficult. The methodology used in this first course it's clean, polished, and very rich in content. Already on the hype to start the next course!

I got to learn the basics of Neural Network right from the start. Then Andrew Sir through his progressive and simplified teaching helped in building the whole Neural Network through smaller steps. And at last go t to do a binary classification project on recognizing cat vs no-cat. Andrew sir is best in the business when it comes to making this simplified and teaching.

The concepts were explained in a very easy to understand manner. There was at times too mch math and formulations but ofcourse, even if we use libraries to do that for us, we should still know what going on in the background which allows to more power to tune and restructure these models. So great learning experience and ready for the next course of the specialization.

An excellent course where I understood why deep learning is called so. I also gained a lot of intuitions and perspectives on deep neural networks. Most importantly, having derived the equations of the backpropagation algorithm with the help of the course material here gives me a lot of satisfaction. I would give a 5/5 to Sir Andrew's teaching! Crisp and crystal clear!!

Andrew ng is so brilliant and nice ! The course is so hard core including all neccessiry concepts to master deeplearning and is not so hard to understand at the same the!

I'm a freelancer, and I want to make autocoding tools by AI, it's so useful for me even though it's far long time to make really autocoding, but a new and efficient method to achieve the coal!

Think U!

The course has really explained me well how to construct neural networks, what is the main idea behind it's working. Vectorization techniques and much more. It moves with simple logistic regression to deep neural network. The most motivating were the interviews in which sir Andrew introduces us to well known people who have made contributions in Neural Networks and AI.

This course is really well designed in such a way that learners can easily understand the content such as the computation process and the complicated theories. I would highly recommend anyone, no matter which industry you are working in, take this course and apply the knowledge to improve your work efficiency. This course has helped me to get started with deep learning

A step by step and right from scratch explanation of neural networks and deep learning taught by my favorite Machine Learning hero, with quizzes and programming assignments in Python to ensure concepts are well mastered. I recommend previous exposure to Python and Machine Learning to make the most of this course (Ng's Coursera's course provides a very solid foundation)

Gentle introduction to the very exciting field of neural networks and deep learning. It doesn't delve into the underlying math in great depth, which in my opinion would be good to learn, but it certainly provides students with intuitions and guidelines on how to build their own deep learning applications. As always, thank you so much for this amazing course, Andrew Ng.

Amazing course, though if you already know how a Multi Layer Perceptron works internally, unless you love as much as me this topic, this is not your course. Andrew reviews very clearly all the basic theory behind forward and backward pass of neural networks. You finish programming your MLP! with number of layers parametrized! amazing. Perfect for beginners or mid-users

This is my first online course I have successfully completed. The reason behind this is both my interest in deep learning and the quality of the course. Andrew is as always great in explaining various topics of deep learning. Assignments were interesting and fun to do. I would recommend others to go through this course if you want to learn the basics of deep learning.

This course was very well structured. Andrew Ng does a fantastic job explaining the intricate details behind neural networks. While takin the course, it was clear to me that Andrew wants every student to succeed: you only have to look as far as the first lecture to realize how he adds his own flair and tips/tricks that gives you a different perspective of the problem.

I was a Performing Artist student with 0 knowledge and I took this course. I wanna throw up data multiple times but professor Andrew is like an angelic priest :) his voice and all the classmates make me want to pursue this to the end. In the end it wasn't too hard for you to understand and it's a good skills to have in an AI oriented world we would have in near future

The course gave very "deep" understanding of the Deep Learning and Artificial Neural Network. The course content was designed for absolute beginner to deep learning and python programming like me. The concepts were taught from first principles and in depth explanation of each step. Thank you deep learning.ai, Mr. Andrew Ng, the course designing community and Coursera.

This first course is a great introduction to the concepts of Deep Learning and the field of AI. If really interested in understanding how Neural Networks work and are trained, this course is the first step to do so. What I liked about the course and lectures is that the Professor clearly explains the link between the mathematical fundamentals and the programming part.

Really great course. Love the interactive notebook homework assignments. That said, I think the notebook exercises hold your hand through too much. I think the homework assignments give you an understanding of what an implemented DNN model looks like, but they don't prepare you well to re-derive all the equations or architecture on your own. That's a different course.

Well, this course is a nice beginning class for the freshman in neural networks or deep learning. The programming assignment is interesting and encouraging. What interest me most is the interview with Hinton and Ian Goodfellow, which is a great motivation for me to work harder on my current research topic and try to follow their suggestions to deep learning beginners.

Fantastic introduction to the basic ideas of neural networks and how forward and back propagation work at the mathematical level. Andrew does a good job of abstracting away of lot of the calculus required to understand backpropagation whilst giving you at least an idea of how it was derived.

The programming assignments help ground your understanding of the topics well.

Excellent course. Course can be followed even if you are close to a complete beginner, but doesn't pull any punches. Offers extra depth if you are looking for it, through a.o. discussion forums. Course mentions calculus is not required, but I do think that without it some of the course is really quite hard to understand. Felt the need to brush up on it myself anyway.

Taught by a really knowledgeable and great teacher, Andrew Ng. The course was very informative and taught me Deep Learning from the very scratch. Best of all, after the course, I'm confident about implementing Neural Networks. Every doubt and every basic detail regarding mathematics or programming was cleared thoroughly. I highly recommend the course to everyone!😃😃

A great introduction to Deep learning - brushing up Python programming (including tricks such as Broadcasting), a clear understanding of the basics of Artificial Neural Nets, along with great techniques such as Forward Propagation, Backward Propagation. Happy to have stumbled upon this course - increases my desire to work and contribute to the field of Deep Learning.

So far, I read some books and used NN framework softwares and found it worked pretty good, but I was avoiding to understand "how" they are working exactly. Now I have confidence, by implementing NN code without such framework software, that I can implement NN by myself if needed. I'm thinking to re-read the books and also to try enrollment in more advanced courses.