Great intro! The instructor takes his time to explain the concepts multiple times so you are constantly refreshed. Also, the terms are consistent across all the lectures and assignments, and any changes are clearly stated. Im looking forward to the next course.

I am highly satisfied in talking this course. The mechanism of neural networks was explained in a progressive manner which enabled good understanding of the basics. Andrew's explanation of back propagation was simply awesome . Thank you for this great course!!

This course lays the foundation of the Neural Networks. It explains one of the most difficult to understand part of the Neural Networks: Backpropagation. This course is a must if you are interested in understanding the implementation details of Neural Networks,

Very good as a start

Only concern is that programming assignements were so assisted that I couldn't get it wrong and I would have porefered sometimes as assignement that gives a problem and let the student program it from scratch (at least as a last assignement)

Dr Andrew is an excellent educator, he not only takes you through the fundamentals in a rigorous yet accessible way. He also ensures that you are filled with confidence and aren't deterred by possible challenges you might face. 10/10, I would highly recommend.

Amazingly taught by Andrew Ng. With the right mindset and dedication and a little knowledge in the fundamentals of calculus and matrix algebra, its possible to complete this course under 1 week. I learnt a lot of the basics required for making neural networks.

I already finished "Machine learning" course, so here was not much new features for me. For basic understanding I recomend more "Machine learning". This course gave me a bit new about python programming and simple way of image preprocessing and classification.

The instructor does an excellent job of stripping away the extraneous material and concentrating on the important topics. The course is very well designed to minimize frustrations inevitable with distance learning, so you can concentrate on learning the topic.

This is my first deep learning course, I love to implement the very basic and core neural network in this course. However, It will be more helpful if the course allows me to learn a little bit basics of a statistic such as deep learning book by Ian Goodfellow.

No doubt Andrew Ng is an amazing tutor. This course will let you implement the concepts that you'll study and it feels so great to see something working after learning it, especially in coding. Thank you Coursera and deeplearning.ai for such an amazing course.

Very good course for a rookie like me, who has just basic knowledge about ML. It helps you understand not only the concepts of deep learning but also makes you well-verse with the math behind it and help you code all the things you learn throughout the course.

I have enrolled in different courses, but no one was able to explain the principle of deep learning(What's happening behind deep learning network) this much clearer. The best course if you want to learn behind the scene of a Neural Network. Highly Recommended.

This course helped me a lot to achieve a better understanding of this complex topic. It guided me step-by-step in an such a way that things look simpler as they are but not by becoming irrelevant scientifically speaking. I highly recommend this course, really.

The course has a healthy balance between having the participant independently learns and practices the concepts themselves and being safely guided to complete the course. Few typos need to be corrected, however. Otherwise, it is an excellent course. Thank you.

This course explains the fundamentals of neural networks in very elaborated way. The course teaches how to use Python Numpy to build L-layer neural network models for image classification. This course was very useful to me. I have learnt a lot from this course

Ótimo curso com didática eficiente e domínio completo do conteúdo por parte do orientador, atingi meus objetivos e agora adquiri a competência de contruir meus próprios frameworks de Deep Learning. Sem contar os conselhos inestimáveis de profissionais da área.

Through this course, I learned how to build a multi-hidden-layer neural network in python and gained a deep understanding of the concept of back propagation. It feels cool when you see you can actually build a real neural network that can do image recognition.

Professor Andrew Ng explained the basic very well. It is ok to not have any background in Math, Linear Algebra etc. But I feel that you might understand thing at much greater depth if you have understanding of them. Overall nice course to begin with ML and AI.

It is very well structured, well-paced and scaffolded to build up the learner's foundation in a topic that could have easily been very dry due to the math. Andrew Ng's lectures are crisp and easy to understand - thoroughly enjoyed myself in the whole process.

Easy to understand and follow, able to learn and catch up the basic of DeepLearning.

Assignment is essential to let you know the implmentation of the model, and some extra/bonus knowledge is provided during the course or assignment as well. Highly recommend!

Nice introduction to NN and their architecture. The coding exercises are made in a very clean and clear fashion and are easy to solve. Towards the end the material is getting a bit repetitive as the formulas are always the same but i enjoyed doing the course.

Before taking this course I had some background in neural networks. This course turned out to be very useful because it's updated to the latest develoments in the discipline and it's very hands-on oriented. The lessons are extremely well explained. Thank you!

This an excellent overview of Deep Learning. The explanations and exercises give a very clear understanding of how deep neural networks are built and how they work at every step. The course provides a good intellectual challenge, and enjoying to work through.

This course is awesome for all those people who wants to make a career or switch to deep learning. All the concepts were explained in intutive manner and enough practice problems were there to soldify the concepts. So, in nutshell I enjoyed this course fully.

It's a very concise intro to the basics of DNN's. It's a much shorter (It can be completed this in much less than 4 weeks) course compared to Andrew Ng's Machine Learning course, but still covers the details of back propagation in a simple comprehensible way.