Es un curso relativamente sencillo, requiere comprender multiplicacion y suma de matrices, adicionalmente el concepto de pendiente ( calculo vectorial), y por ultimo basicos de python

Lessons are well "step-by-step" packaged. Very practical approach to positively "force" you to undersatand all the details via coding; the structured notebooks are super in this sense.

Everything is explained in great detail. After the theory I sat down and wrote the first simple network and it worked. The details are very clear, which is very important. Good course.

Simply such an amazing experience, the chuncking of the information was key for me to learn in a proper way and the instructor was indeed very capable and passioned for doing this job.

Awesome course. Truly made for brilliant minded beginners. Any beginner in machine learning must take this course. I learnt a lot. Neural networks had never seemed so easy and natural.

In this course, I really understand the concept of Deep Neural Network and understood the basic concept of the above. Now I can be sure to move further in the field of Neural networks.

Andrew Ng is a great teacher with his teaching I am able to understand some very tough concept like backpropagation easily. Through this course I am more motivated about Deep learning.

This course really gives a thorough introduction to deep learning. All the concepts are explained in great detail. It is a great starting point to start learning about neural networks.

One of the best course iI learned!!!!!It teaches very important implementation and vectorization in python .It cleared my concept on backpropagation intuitions and implementation!!!!!1

The best course I have attended in NN and DL. It's amazing how easy the concepts are explained. The examples and practical exercises are great to understand much better these concepts.

I genuinely don't understand how the rating of this cource could be 4.9, not 5.0! I found clear explanations of every aspect of NN basics and thinkfully composed programming exersices.

Very good course! All explanations are clear and the concepts are good organized and introduced. If you have the basics of the Machine Learning, this course would be simple and clear!

Hi, This Course is really good for me, it's open my eyes to the fact of deep learning. After this course I hope to continue learning by my dear teacher Prof A.NG. thanks for your helps

Good course, but I definitely spent more time trying to learn how to game the grader and submission system than about deep learning. 5 stars because it's not like it's Dr. Ng's fault.

I really like this course and the professor. because his courses make me feel comfortable and it's easy to understand even though I do not have previous math knowledge. Helps me a lot!

During this great course, you'll learn how to implement a FNN in python step-by-step. Notebooks provided are great to focus only to the developing part and not on the operational part.

Really well thought out material. Unlike other online courses that tend to avoid the math, Andrew explains everything. The course also teaches you to make neural networks from scratch.

I enjoyed the content of the required videos as well as the optional ones. They made it easy to follow along with the assignments, and some of them inspired me to become more invested.

This course provides a great overview of the classical statistical learning, classification, and describes the transition to the backpropagation e feedforward neural networks approach.

Informative and practical with focus on deep learning itself. Learners don't have to deal with setting up the software environment (e.g. installing python, libraries, jupyter notebook)

Wu provided a widen horizon of the deep learning knowledge and let us enjoy the course. I love the exercises which make me have a good command of the knowledge. Thanks Wu and his team!

it is a great course. The assignment is a little hard than the lecture. I don't think I know how to build a deep neural network model. I need to redo the assignment again to master it.

Clearly explained, in great detail. Easy to follow. Assignments led to a practical understanding of the material. Excited to take more courses in this specialization from Professor Ng.

If you are willing to understand & learn the theory behind neural network & deep learning with focus on practical assignments then this course is for you. You should always be curious.

Great introduction to neural networks and Python. Although calculus and linear algebra are not prerequisites, students might want to review the fundamentals before taking this course.