Ótimo curso para entender os fundamentos de uma Rede Neural e Deep Learning. Curso focado na teoria, mas também muito prático. Parabéns pela iniciativa deeplearning.ai e o mestre Andrew Ng!

This was a very clear introduction to neural networks providing both a helpful intuition of how they work as well as hands-on examples of how to implement a binary classification algorithm.

It's a great course. Andrew takes you by hand and shows the importance of each and every step. Then, you finish by understanding that NN is not a magic, it has to work because of each part.

It was a great overview for me. I wish I could give 4.5 stars because of the homework. I would have preferred a bit more challenging homework rather than easy and clean homework. Thank you.

Hi,

Just completed the course and liked it so much that I enrolled for next course. Concepts are nicely explained and programming exercise makes you understand the concept even more clearly.

Really enjoyed the course, gives foundational theory to neural networks and then generalises it in an intuitive way without complicating the topic with unnecessary derivations and concepts.

Professor Ng does a great job introducing a broad audience to neural networks and machine learning. Great lecture quality and will ease you into using python to structure your own projects.

A great first step for anyone new to Machine Learning looking to understand its emergence as of late, as well as how it's structured from both a computational and a mathematical standpoint.

Very nice course, with clear explanations and very useful exercises to practice what is explained in the lectures. Thank you very much! I am looking very much forward to the second course..

Very good overview of neural networks. Gives a good sense of the underlying math without being to boring. Students that want more details will get good direction what to examine/research.

I thought the course was very well designed. The material from the lectures flowed very seamlessly to the quizes and the programming assignments. Looking forward to the next installments!

This is a great way to get started with deep learning. The lectures are very well sequenced and offer a good mix of basics along with insights about using the techniques in the real world.

Another fantastic course offering by Andrew Ng. I very much enjoy his teaching style and the breakdown of assignment structures to progressively build helper modules into a larger function.

It is an excellent course. It has all building blocks for everyone who wants to grasp the key materials of AI deep learning technology. The interviews with gurus are exceptional intriguing.

It has a really good pace, Andrew is a good educator, and the assignments give you enough information for you to complete them although previous knowledge of programming is a big advantage

Brilliant course. It has everything one needs to start his/her journey into the 'deep learning' realm. The whole idea of neural network is very well presented with intuition at every step.

It's the best course to start with Deep Neural Network. Anyone with zero knowledge about python will definitely gain significant knowledge about programming and Fundamental Neural Network.

Fantastic course though it is difficult to say which was better, the great presentation or seeing how wonderful it is to program neural networks using Python and numpy. Just amazing stuff.

A very solid fundamental structure of deep learning and neural network to getting started with. Anyone who wishes to know this topic may be recommended to take this course in routine term.

The background of the DL is explained very well and it is a nice introduction to high-level optimizations. It also contributes to coding practices behind the scene very well. Thanks a lot.

Thank you!

It was very exciting. I haven't been so involved in any process for a long time.

I have a similar inspiration when I typed my first BASIC code on "Elektronika MS 0202" at school.

It was a really well written/planned and interactive course.

The best part about is its lectures length they are small and provide you will ample amount of info in order to keep you engaged

The computation graph way of looking at the forward and backprop is such a good idea. I now have a better understanding of what Neural Nets are and their inner workings. Thank you, Andrew!

Very comprehensive and with accessive language, but without losing academic core. Andrew NG knows how to teach us complex knowledge in simple and understandable words and enough equations.

Learned basics of deep learning from the very low level which gives the power of imagination of how things work in deep learning.

looking forward to completing a full specialization course.