I read a lot about NN. With this course, I got to see/do the implementation of it with bare bone structure, which absolutely solidified my knowledge and gave me a much better understanding of fundamentals.

Um curso que vai além do convencional que é mostrado em abundância na internet. A visão vetorial das redes neurais é fundamental para se adquirir ainda mais insights sobre o comportamento desta ferramenta.

Excellent course if you are interested to understand how things work at very low level. Clear explanation of the algorithm rather than just programming with some high level framework, makes it interesting.

This is a beginner's guide to neural network and deep learning, with excellent build up of exercises. Don't let the math scare you as you will have time to deal with it later when building your own models.

very impressive on explanation and mathematical background intuitions, step-by-step python notebook is easy to follow and codes are easy to read as most variables are named to be matched with the equation.

The course was well organized and the concepts was very clearly explained. The subject matter was very relevant and there was enough information presented to understand the topic without too much overload.

Excellent for beginners (in all sense). Even if you are a novice in python, Deep Learning, AI or/ and vectorization, this course has got them covered. All you need is little determination and little logic.

Great introduction: an intuitive approach to solving a whole new class of problems using neural networks; these are problems that would be very difficult to solve using conventional programming techniques.

A must take course for everyone who is aspiring to make a career in deep learning. Dr. Ng's explanation is lucid enough for even a beginner to understand machine learning terms.Overall, an amazing course!

A great starter with Deep Learning, at the end of the course you will have the know how and insights to start implementing DL in the real world. Looking forward to the other courses in this Specialization!

I liked the course contents and the presentation. It helped me to understand deep learning in depth with mathematical approach without any issue. I am looking forward learning the other courses as well.

No pain no gain. I earn a lot knowledge about this course, define, foundation. 1 more plus point for this course is use python 3 for the programing, it is suitable for who already learning python like me.

Get ready for matrix algebra... you need to really keep track of each step. Very doable and you will actually know what a neural network is doing! Also, you will find out why we call it "Deep" learning :)

Andrew is awesome! He led me through every aspect of a Neural Network and showed the math in it very clear. It should be quite hard and boring, but Andrew has made them easy to understand and interesting.

Such an intuitive way to learn and Andrew is so good at making sure the course doesn't scare people with little ML background. I feel empowered to learn more :) Thanks to everyone for such a great course!

Its a great oppurtunity to learn from the brilliant minds. The approach of how the teacher takes you all along from start to finish is the key to the success of every individual!!

Thank you for everything!

I thought this was a great start into Deep Learning. It takes a step by step approach to learn the building blocks into Neural Networks, then finally putting the blocks together to make a learning model.

This course focus on the basic foundations required to excel in neural networks. It also has interesting projects that will give you hand on experience on how to build your own neural network from scratch

Content delivery by Andrew was perhaps the best I have come across from various courses I have attended. He has made an effort to explain slightest of the information. Worth spending your time and energy.

Great course - simple explanation - on using vectorisation and explanation on python broadcasting. Inspiring interviews for AI research esp on the GAN and AI capsule in the context of memory and learning.

Highly recommended !!

This course will actually make you understand the working of a logistic/neural net. The coding exercises are challenging and will ensure firm grasp in NN once completed independently.

Really awesome and good for learning concepts related to neural networking and deep learning. Assignments will help us to understand more and more their applications and possible use cases for industries.

Well Structured and designed to make students understand. Programming exercises were well guided and helped to re-inforce our learning. Thanks to Andrew and team to help us open our eyes to Deep Learning.

Clear and structured approach to NN's. I enjoyed the building of intuitions around gradients, and feel I've gained a much clearer understanding of the basics. Excited for the rest of the specialization!

Instructor was easy to follow, course material was fairly easy to pick up, and assignments were well guided. It definitely would help to have previous exposure to neural networks before taking it, though.