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Helps you clearly understand the fundamentals of neural network and deep learning, Andrew NG is amazing at explaining complex topic in an easy to understand language and he also tells you tips and tricks to work more efficiently. Great starter course to get into deep learning.

Amazing course! I took machine learning course first (which is also amazing!) and then started this one. They are both good for beginners, some of their content overlaps, this one can be well stand-alone - don't worry about it if you have not taken the machine learning course.

Great introduction into Neural Networks and Deep Learning. Andrew does a good job with explaining the concepts and the simple programming assignments reinforce the learning. You won't come out a wizard in NN/DL, but it's a great start to continue to motivate future learning.

Excellent Course, the mathematical details provided in the course helps in understanding the working of Algorithms to the fullest. Although, it would be very helpful if some detailed textual content can be made available for each chapter to take the understanding even further.

It is a Comprehensive course on Deep learning and undoubtedly the best in courser, providing every detail on how to work and make your model, still I would recommend to follow Stanford Machine Learning Andrew Ng course once to lay a rock solid concept before starting off here.

I have learned a lot from Andrew Ng in this course and the teaching and exercises' style is consistent with that of the Machine Learning taught by Andrew Ng. Generally speaking, the python programming style is very pretty and I will follow this style to program in the future.

I have been in touch with machine learning and computer vision since my MsC degree on a ivy-league faculty.

I think this is a very nice and smooth way to learn, even after a 9-to-19h full-time work day. So, thank you very much for making this course so well prepared, so smooth.

Thank you Andrew Ng, you are my best teacher who I have seen. The programmer exercise part are designed so wonderful and I have a deep understanding to Neural Networks and Deep Learning with it. I am going to finish the rest courses and finally I want to say, "I love 糖心vlog官网观看"

Professor Andrew makes the difficult subject easy to grasp. Simultaneous implementation of the techniques taught allows for better clarity of concepts. Also, the segment where heroes of Deep Learning share their journey and ideas is inspirational. A very well designed course.

Thoroughly enjoyed taking this course! Professor Ng is one of the best teachers I have encountered. The videos lectures are an easy watch. Assignments are designed to really solidify the concepts. A little bit of calculus knowledge will definitely help but not really required.

This course has been a such a good fundamental learning experience. Andrew Ng's way of instructing was very intellectual and easy to follow. All of my learnings in this course makes me feel confident in my journey of becoming an AI engineer. 10/10 would recommend to others 馃挴

This course is exceptionally well-designed, making a seemingly challenging subject easy to understand. Andrew Ng's detailed explanations and the step-by-step guidance in the coding assignments make deep learning accessible even to individuals without a strong math background.

Excellent introductory course with Python as programming language. If you are beginner at ML and looking for headstart this course is for you. Andrew Ng leaves no stones unturned un explaining the basics, plus he makes things lot more intuitive without involving much Maths:)

Very nice Deep Learning introduction course by Prof Ng. He explains concept like forward propagation, activation function, derivatives and matrices in a layman way and actually motivate me to do more further reading on matrix calculus and various forms of activation function.

The best course to follow up after ML from Deeplearning.ai. Dive-in deep to understand how back-propagation, hidden -layers and the activation functions are developed and used. Design and develop multi-layered Neural networks with greater understanding. Thoroughly enjoyed it.

I have to say this is the Best Course u can get if you want to Enter the World of Deep learning

with to the point Explanation of the relevant topics and the hands on Exercise Bridges the gap between the Theoretical and Practical approach of this domain. cheers to Knowledge.

Excellent course!!! I really enjoyed the pace of the course, and how clear were the explanations regarding the mathematics behind neural networks.

I loved that it was not another 'overview' course on AI, it explains the real algorithms behind neural networks. Congratulations.

Hi, my name is Mayarin, I am a mathematician and I am very happy to have finished the course. The classes seemed great to me, I really liked how they started with a simple neural network and then added more layers, the last week was my favorite. Eager to start the next course

Excellent step by step explanation of deep learning. I liked how the course started with logistic regression and then progressed to deep neural network by building from fundamental principles. Deeply satisfied as I was able to build a multi layer neural network from scratch!

excellent course that guide you through aquiring a solid understanding of the principles and the practices needed to build neural networks. Also doing a Masters at a well known university and couldn't have got through the course without this. An absolutely fantastic resource.

Best course for deep learning from scratch if you're an engineering/science student. Loved the hands on experience with jupyter notebooks! :) If you've completed the Intro to ML course by Andrew NG then this would be much easier for you but even without that its a fun course!

Such a great introduction to Deep Learning. Clear, very well explained and most importantly it does shun away from practice. The exercices can be a bit spoon-fed, but this would greatly benefit those with no prior experience and "just want to check". 10/10 would recommend :)

Professor Ng does a great job explaining the concepts behind Deep Neural Networks! Although deeper knowledge of Linear Algebra and multivariable Calculus is always handy, it is far from necessary for completing this course and successfully building your first neural network.

Andrew Ng is an awesome instructor. Assignments are equipped to transfer knowledge efficiently while keeping the material interesting. NN training through backpropagation was explained with more lucidity than I have ever seen. One can quickly apply the skills learned here.