A great course to introduce learners to the backstage of Neural Networks. It should also offer more mathematical rigor (optional) along with the other content.

Great Material, awesome presentation. Loved the coding assignments, a little less on Math, I would have preferred a more mathematical treatment of the subject.

materials are more than enough. exercises were tough but most of the graded functions were explained more than a learner needs. it made the assignments easier.

I couldn't be more grateful for this course. Andrew Ng is exceptionally good at explaining the difficult concepts of DL and makes the subject fun and exciting.

An amazing course on neural networks and deep learning even for beginners it's a very good course. Each and every topic is being explained briefly and clearly.

I love this course. The instructor explains each step in a very clear way and I can implement the algorithms step by step with instructions. Feels pretty well!

El curso es muy enriquecedor y tiene un ritmo adecuado de aprendizaje, incluso para aquellas personas que no tienen conocimientos profundos sobre programacion.

Excellent course. A little bit of a refresher if you've taken Andrew Ng's Machine Learning class, but the Python implementation makes it sincerely worthwhile.

I have some background in mathematics and python so it was very exciting to learn how NN actually works on a low level. Thank you very much for a great course.

This course helped me understand what all goes inside the neural networks. Especially the math part and the numpy implementation that makes it run much faster.

This course is amazing!!! Even the mathematical part is easy to understand. This course rescued my disastrous semester in my real life grad school, seriously!!

It's indeed a very well structured course. The buzz word "deep learning" appears no more buzzing now. It appears very simple now. Gained much confidence in it.

This course helps me to develop much deeper understanding in Deep Neural Network and gain practical skills like how to implement a Neural Network from scratch.

A concise course teaching to build deep neural networks from scratch without any special tools (besides NumPy). Really clarified a few important things for me!

Motivating series of videos with quality explanation, quizzes and hands-on assignments. Didactically well tuned. Voice, speed and modulation are very pleasant.

This course helped me in Understanding the architecture of Neural Networks and also gave hands- on experience to code functioning of Neural Network from basic.

Totalmente recomendado, aprendí bastante, el único problema es que los subtítulos están en ingles y a veces confundían algunos términos, por lo demás excelente

Very well structured course. I particularly like how the assignments were in jupyter notebooks. The content was relevant and the course was explained very well

A lot of interesting and relevant details. Loved doing the programming assignments in Jupyter notebooks - gave me a good feel for how to implement neural nets.

the class is really easy to follow and modularize the code which give me a great framework to understand and remember the steps to build a deep neural networks

A solid course, it reinforced my knowledge of ML. I liked how Pr Ng breaks down each concept, to make them more digestable. The pace of the class was on point.

Pretty in depth and gave a good enough thorough understand. The way the assignments were structured was not too difficult and allowed it to be easy to pick up.

Amazing course. The best part is that the mathematical intuition is made solid by not allowing usage of deep learning libraries in the programming assignments.

Great course to get an understanding how neural networks work and are implemented.

The only drawback is that I found a few code "mistakes" in quiz assignments.

The lecture and assignments help me to understand the concept of Deep Learning. Thank you Dr Andrew Ng for explaining deep learning in easy way to understand.