Muy buen inicio para la especialización en deep learning. No puedo esperar para ver los siguientes cursos. La implementación de los Jupyter notebook es muy práctica.

Excellent course for beginners in the subject. I personally enjoyed doing the programming assignments of python which were really well made to enhance understanding.

Andrew Ng makes things very easy to understand! The course gives a decent overview of the neural network and practical coding home works helps to clear fundamentals.

This is a great practical introduction to deep learning. You will learn how deep learning algorithms work and you will learn how to build them in Python using Numpy.

Andrew Ng's style is so compelling and very easy to follow. The concepts explained in the course are structured in such a way that learning is a natural consequence.

You will understand the deep neural networks conceptually and implement those from scratch so that will understand the concepts more clear and don't have to remember

It's an extremely beneficial course for beginners. It clears the very basic concepts of deep learning and helps us to make our own deep learning models quite easily.

I would like to thank Andrew ng sir, he's inspiration to all of us (who wants to learn Machine Learning) and whole coursera team for providing such amazing material.

As all Ng materials, this course goes straight to the point with clear explanations and perfect assignments. Explaining the basics of the generation and usage of NNs

I found course 1 of this Andrew Ng's specialization easy to follow with assignments practical enough to allow for truly understanding the concepts taught in lecture.

excellent course, I fall in love with the way andrew teaches. This is a great introductory course in deep learning. I would recommend my friends to take this course.

Amazing course, Andrew NG is a wonderful educator. The interviews included at the end of every week are really inspirational. Be sure to practice all the assignments

Thanks Andrew Sir for such a deep dive learning experience, a must have course for individuals who wants to gain perfect basics of Neural Networks and Deep Learning.

Very detailed and consistent course, very good for complete beginners but also provides insights regarding the math foundation. Very informative and easy to learn.

The method of teaching step by step and explaining everything is just clear and perfect. The assignments are also of good level and test your knowledge and aptitude.

Very useful course even if you have some previous knowledge on machine learning. This course use a well designed notation to make the complicated calculation simple.

Excellent introduction to Deep Neural Networks! You do not need a background in Machine learning if you basic undergraduate knowledge in Calculus and Linear Algebra.

Love it. Great foundations course for executives who want to be able to better interact with its data scientists and start to explore uses of ML in their businesses.

great introduction to neural networks!! i appreciated the helper modules in the programming assignments to get the point across, didn't have to do much heavy lifting

Perfect course for a beginner in Deep Learning.

One who already has hands-on in DL might find it basic. Still, I would recommend as it helps in refreshing DL basics.

Great intro level course to deep learning. Concepts are explained well with ample additional reading material. Congrats to Andrew and the team, the quality is great.

I really love how Professor Andrew Ng designed this course. He explained every single details very carefully, so it is very easy to follow and understand. Thank you!

it is really a good course to learn about neural networks. anyone with basic knowledge of maths, can easily understand the concept of neural networks and master it.

This course is really good for AI newbie like me. You can learn and practice regularly, so I think your skill is gradually improved. Tks this course for helping me.

Great course. Explanations are very elaborate and you can see they really try to explain even when this is something not so easy to understand. I really liked that.