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.

This course provided me the basis of neural networks. It has been a pleasure be guided by Andrew. Highly recommended if you are interested in acquire skills that introduce you into Deep Learning's world.

Great Course for anyone wanting to get started with Deep Learning. The course content is amazing and the Programming Lab really helps. Thanks, Andrew and Team for making this course so much fun to learn.

A perfectly designed course. Starting with the basic building blocks of neural networks and progressing thoroughly into its details. This is the course anyone looking for getting into AI must start with.

Very well explained, for those familiar with calculus demonstrations are presented as optional videos. This is my first ML course and I think the approach is perfect for engineers who are beginners in ML

I really enjoyed taking this course, it is really well explained and detailed. This course helped me understand the basics of machine learning and neural network, and practice those subject with example.

Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.

Great course for learning Deep Learning and Neural Network calculations, practicing and classifying images. Prior knowledge of Python, Calculus and ML will be helpful for learning from the course better.

Despite the low video and sound quality, this is very informative and one of the best courses for deep learning. After completing this course I am feeling very confident in implementing ANN from scratch.

if you are looking to deep dive into neural networks,to get that hands on experience, this is the perfect starter course . It teaches core concepts like back-propagation in a very simple schematic manner