Amazing course. All concepts are taught till considerable depth, all underlying mathematics is also taught loved this about it. Distribution into weeks is really amazing. This course and this specialization is the best among the courses I have seen

I liked Prof. Ng's teaching style. His explanations are very clear. Especially interesting were the "Heroes of Deep Learning" interviews. The programming assignments were well-prepared and thoroughly improved my understanding of the subject matter.

It was wonderful experience. I have started Neural Networks with coursera. I am new to Deep learning & now I have built confidence to pursue this interested field. I am not going to stop now. Thanks Andrew NG for making such well structured course.

I truly recommend this course. I am very new to the whole field of AI and i chose this as my first course in the matter. It really helped me gain a bigger perspective. Everything is very simplified and I was guided in every step through the course.

This is an excellent course for getting introduced to Neural networks and deep learning. I especially liked the assignments. They are not that complex but explains the concepts pretty well with very high quality jupiter notebooks. Excellent Stuff!!

This course offered well deliberated inputs for first time learner on Deep learning. Great overview and even more impressive way of presenting complex theoretical concepts in a compelling and easy to understand manner.

Totally recommend this course!

Es un curso muy interesante, ya que se complementa con los contenidos del curso de Machine Learning que hay aqui mismo en coursera, e incluso algunos aspectos los explica de manera mas detallada, como es el caso de las derivadas en backpropagation.

I would rate this as a 4.5 or so. I found the strict jupyter notebook somewhat constraining. I would love to get raw data v/s writting it out etc. May be I couldnt figure this out

Overall - the lectures were mostly great, simple and easy to follow.

Great revision of machine learning, if you have taken Machine learning course by Andrew Ng which can be found here in Coursera, you will find most subjects are already covered before. Looking forward for the next 4 courses of this specialization

This is a great course but I suggest that the Mathematics of backpropogation should be explained in great details for multiple layers and for multi class scenarios using the delta rule because backpropogation algorithm is a heart of deep learning.

I found the explanations quite indepth and informative. The assignment instructions were prescriptive enough to follow along. I would recommend it to anyone like myself, that is at the beginning of their Machine learning and deep learning journey

Liked it a lot. Thanks Andrew Ng, you clearly explain all the material of this course. Also thaks for leaving most of the math calculations behind. The labs are great, they help to remember all of the formulas. Looking forward for the next course.

Amazing course! This course provide depth knowledge forward and backward propagations in detail with necessary derivates and also provide depth intro to neural network. And give me more intuition by providing programming assignments in each weeks.

This is the best course which I had from coursera. Thanks to Andrew NG for such course where we get the deep understanding behind the working of neural network. This course taught me to make neural network from scratch by just using numpy library.

A brilliant course by Andrew Ng. Andrew finds the importance in understanding the Math involved in the Deep Learning algorithms which most of the courses miss out.

Audio could be improved. There were instances where I had to turn on the subtitles.

Learning Deep Learning and Neural Networks from Andrew sir is so great.he makes each and every concept of DL so easy to understand. Andrew sir you are the best! This course is also well designed and good practice through its programming exercises!

Great course. Covers a lot of content and walks you through how to use it. It covers the theory and mathematics to a good degree and makes it not scary. Great exercises. The videos lengths are concise and there is no waffle. I highly recommend it.

Nice Concise introduction to Neural Networks. Toy examples to grasp matrix operations would have been awesome and would've further reinforced the understanding. Overall it's a very good intro to anyone who wants to venture into Deep Learning space

The course was designed well to for anyone to start with neural networks from the scratch. And each week's videos were in depth and explained well by Prof.. Assignments were designed well to ensure we get good experience on python implementation.

One of the aptest courses on DL, especially the assignments where you actually get to build a NN from scratch with all the concepts learned in the course. I strongly recommend this course to anyone who wants to get a very good intuition on NN & DL

As a beginner in deep learning, I found that this course is intuitive and very structured, it actually make you understanding concepts in deep learning and the theory behind rather than just applying the algorithms, so thank you million times :)

I feel really appreciate to have this class which helps me to have a basic understanding of nueral networks and deep learning. It's amazing and wonderful when I learned how to write codes. Andrew Ng's course is really great! Thank you very much！

The course is the perfect way to start Deep Learning, the concepts covered are introduced keeping in mind that any person can learn from this course. The programming exercise is the heart of this course. Please do all of them with all seriousness.

This course was my first step into the world of deep learning and neural network and it turned out to be an excellent learning experience. Lot of niche features being explained with ease and practical implementation helps understand topics better.

This course is a great introduction to deep learning. It's detailed and the programming assignments are really useful. It doesn't depend on your understanding of math, but having a mathematical background would help you get a deeper understanding.