Lucid exposition, and highly directed learning. Immediately usable content, and Andrew Ng being his usual high-calibre, friendly professorial self. A brilliant course.

Well-designed course for beginner. I would recommend all people who don't have deep math foundation yet want to get an insight of machine learning to take this course!

Trust me you wont be afraid of neural networks after completing this course. It is guaranteed that you will surely learn something new :) Thanks professor Andrew Ng :)

Great class! You learn about the basic structure of a deep learning algorithm and how to implement one in the Python Programming language. Andrew is a great professor!

This is a great course for anyone who wants to learn Deep Neural Networks and become an expert at it. Thank you for doing this Andrew. The interviews are really great!

Andrew Ng and Deeplearning.ai teach a stellar course. the programming assignments are really valuable and the interview with the "superstars" were 100% worth watching.

I have internalized basic deep learning concepts in 4 weeks! It blows my mind that using some calculus and linear algebra we can recognize photos with decent accuracy.

After completing this course, I had got very good knowledge about Machine Learning. THANKS TO Andrew NG sir. Will hope to meet you for a project discussion in future.

It's very helpful for who want to learning neural networks. Advantages are 1.systematic teaching, 2.generous sharing coding & resource, 3.very professional contents.

I was beginner about deep learning. But I could finish this class with Andrew's great lecture. And also my C programming skill helped me to understand this algorithm.

I find it very insightful especially for some one who is getting started with deep learning. Course covered all the concepts including the necessary math as required.

Great lectures! Basics of deep learning are explained clearly, exercises are designed in a wonderful way to lead you to build your own deep neural network painlessly.

It is so clear and well built. The helper functions absolutely beat what i built on my own until then. I will have to rebuild all my little projects to leverage that!

Easy to learn from this course - I completed after doing 'Machine Learning' course - much of it was revision but this reinforced my understanding. Well worth my time.

I am super excited about next course after this course. there is a very great teaching style i have seen. great course. i have studied lot of new things. thank you!!!

Thanks a lot to Andrew NG for his great explanation and simplifying these complex issues which anybody with basic knowledge of calculus and python can enjoy and learn

The course material and coursework was really good. The math behind NN is a really important piece that needs to be understood and this course helped me achieve that!

its a great course for deep learning enthusiast to start with basics of model designing with lot of mathematical explanations and hands on practical coding assignment

What an amazing course. The exercises are not very difficult but not very easy also. They make sure you understand the basics of the concepts and eventually go higher

one of the best online course in deep learning, it gives you the intuition behind everything that you learn during this course which makes it interesting and exciting

This was a very practical intro to deep learning while still diving into the depths of dense neural networks, activation functions, the backpropagation algorithm etc.

Andrew has explained in detail the deep learning algorithm and make it easy to understand. The coding exercise is good to allow me understand well deep learning algo.

Learned about Neural Networks from the absolute scratch and it was amazing. I would recommend taking this course only if you had completed machine learning elsewhere.

This course really helped me to give a kickstart in understanding neural networks and deep learning and the best part of learning was to learn with jupyter notebooks.

I started this course after completing machine learning from Stanford and since then I got interested in deep learning. Hope to complete deep learning specialization.