I am very satisfied with this course. After having done another course on Udacity, which left a lot of gaps in my understanding of backpropagation, I liked how Andrew was able to break it down, both numerically and visually. Also, the projects, while it required less coding, was neatly documented

Hi! Thank you for accepting my financial aid. This course is great and complete. I have learned a lot from it. I have an idea, and I think that if you put a conclusion video at the end of courses and review all the things that were used in the course, it would be great.

Sincerely

Mahdi seddigh

The fact that you get to implement your own NN from scratch really makes you understand the material more. At First I didn't really understand how it worked but now I can confidently say I know how a Neurel Network works.

Thanks to everyone who shared and worked on making this incredible Course.

it is good course for someone wants to dive in the deep learning ,this course provide me with many concepts of python programing and many libriaries used with python like numpy and tensorflow.it is a good step for any one want to take positive step in the deep learning programming from scratch

Before this course, I've taken few others. But this course is the only one which designed in the way that you really realize how is it all working. I did practice tasks organized in the way you repeat crucial things and, as a result, you starting to know how all of this working. I've enjoyed it!

well-structured and useful contents.

It also contained some repetitive contents, which was taught in the Machine Learning course offered by Prof. Ng, but they work well since it helps learners to remember some topics from ML course if they have forgotten.

Thank you again for another perfect course

Very well structured and executed. Programming assignments are well written and clearly explained with just about the right amount of hand-holding. Perfect course for introduction to deep learning. Best taken together with CS230 video lectures on youtube for extra intuition and practical advice.

Amazing course designed to get you up and running with the very basics of DL. I came into this class brand new with very little ML experience (albeit some Python experience) and I have to say this was hands-down the best class (thanks to the best instructor) I've ever taken. Thank you, Coursera!

Excellent course. Professor Ng explains all the concepts very clearly. I very much appreciate his sharing of tips to avoid mistakes and why some activation functions are better than others. I enjoy the interviews of AI Heroes a lot too, and gave a few insights. Glad I decided to take the course.

Professor Andrew Ng, indeed is a great teacher. He teaches in-depth of the course with comprehensive illustrations and examples. I really enjoy his teaching pattern. I'm really excited and motivated by this teacher. Coursera is one of the best place to actually learn. Thanks Professor Andrew Ng.

The contents were nearly same as those in Andrew Ng's Machine Learning Neural Networks part. But some things were new and also brushed up the part I learnt from Machine Learning Course.

Rest, as always, Andrew Ng Sir's course contents are always enchanting! Cheers for such a great specialization!

It's an awesome course.

I have learned a lot in one course about neural network.Andrew NG has beautifully explained about deep neural network from basic.Assignments are also pretty good and it will clear your concept how to use neural network.I am looking forward to other course of Deep learning.

It is really a great course.This helps me to understand the basic and intermediate skills about deep learning like forward and backward propagation and the best thing i have learnt from here is the calculation part of backward propagation..

Thanks you so much for a good and effective explanation.

Excellent first introduction to deep learning. Professor Ng is explains things in an easy to understand manner. The course skips on some of the mathematical parts but that is okay since this is meant for beginners. The programming assignments are relatively easy but quizzes require some thought.

As expected, this Andrew Ng course is AWESOME! Just the right level to get the feet wet whilst leaving you wanting more. At the end of this course you have all the tools you need to go implement Neural Networks for yourself. Thanks Andrew - I cant wait to start the next course in the specialism!

Andrew and his team has a great pace of delivering knowledge, with balanced design of the programming assignments: not too technical but providing sufficient exposure on hands-on skills of coding in Python and making my own models. Thank you so much Andrew and I wish you your team all the best!

It's greatly explained, math concepts are presented well enough to understand the concept. Iterative steps of building your own NN make this process so fascinating and involving, I couldn't get enough experimenting with parameters. I am absolutely in love with this technology. Simply brilliant!

The course structure is impressive, though it is mainly all the math that is behind the learning algorithms the implementation technique of the course is just impeccable. Loved the course, it encouraged me to keep at it when I was stuck. Andrew Ng Sir is a hero without a cape. Thanks a million.

Very well explained by Andrew, I have taken many courses regarding Deep Learning basics but all those teaches black box way suing some library function. What amazed me was that how Andrew turned Logistic Regression into an L-layed neural net and we were able to get good results with it as well.

The most exciting part of this course is that you can learn a lot by doing programming homework. It guides you step by step and indirectly help you to find the reasons behind all the materials in course. It's just like a puzzle that you see the whole picture after gathering all pieces together.

Very interesting ! We learn how to implement deep neural network with python and numpy ! Also we learn lot of things which help to understand why the mathematical choice (for example why tanh activation function is better than sigmoid). And the last but not the least, the pedagogy is very good.

Andrew makes learning this material very accessible and easy to get into. The programming assignments are also very well put together and let you spend more time focusing on the material you're meant to be learning and less time worrying about setting up your machine or writing boilerplate code

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.