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Volver a Redes neurales y aprendizaje profundo

Opiniones y comentarios de aprendices correspondientes a Redes neurales y aprendizaje profundo por parte de

63,708 calificaciones
12,048 revisiones

Acerca del Curso

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization....

Principales revisiones


Dec 04, 2018

Extremely helpful review of the basics, rooted in mathematics, but not overly cumbersome. Very clear, and example coding exercises greatly improved my understanding of the importance of vectorization.


Jul 07, 2018

I think the course explains the underlying concepts well and even if you are already familiar with deep neural networks it's a great complementary course for any pieces you may have missed previously.

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201 - 225 de 11,828 revisiones para Redes neurales y aprendizaje profundo

por Nathan P

Feb 04, 2019

After paying upwards of $1500 for an Intelligent Systems unit as part of a CS degree I still found even the basic concept of neural networks to be confusing and intimidating, despite a final grade of just over 90%; this course not only cost a fraction of the price, but explained the content matter and surrounding ideas in a fashion which made it much easier to digest and laid a strong foundation for further learning. Thank you!

por Pranit B

Feb 03, 2019

Andrew is fantastic teacher his knowledge and commitment towards teaching is outstanding.I thank him and coursera team from bottom of my heart.May god bless you all.

Thanks a lot

Pranit .S. Bhisade

por Cherif M A

Feb 03, 2019

Andrew is really a master in neural nets

por Florian D

Feb 03, 2019

Very interesting course, It's easier to start with this one than the bigger Machine Learning course from Andrew (obviously, it's covering less material than this one). Being fluent in Python and Numpy will certainly make you feel more at ease but there is a lot of material to be able to cope with this difficulty. Can't wait to complete next courses from the specialization.

por Soumadiptya C

Feb 04, 2019

For understanding what actually goes on at the back end of Neural networks and not just assume it's magic this is a Top course. Only one suggestion would be to add an intro to Tensorflow after we completed implementation of Neural Networks by ourselves

por Afiq S

Feb 03, 2019

Andrew Ng is by far one of the best instructors. He made everything so simple and easy to understand.

por Sanjarbek K

Feb 04, 2019

Very amazing, everuthing is explained in datail.

por Bing W

Feb 03, 2019

Very clear instruction and I like to use Jupyter to code NN

por Badru R D

Feb 03, 2019

i learnt a lot in these 4 weeks about neural networks

por Yuvraj G

Feb 03, 2019

It is a very well curate course course to step into the field of deep learning with good hands on exercises. The professor addresses basic but very useful details with great simplicity that helps a lot in learning and retaining the concepts.

por Bunty A S

Feb 03, 2019

Excellent teacher , learned a lot

por Genyu Z

Feb 03, 2019

This course is already very good. Teacher gave me a better understanding of python programming and neural network. Only one thing can be improved. If we can get the data set and make the model totally by ourselves, that will be amazing. Overall, this course is good enough and I will do some extra work after the course.

por Justin T P

Feb 04, 2019

Awesome! Good job of teaching fundamental theory and implementation

por Gunnar H

Feb 04, 2019

A lot of repetition from Dr. Ng's Machine Learning class, but overall very good.

por Esben S S H

Feb 04, 2019

Andrew is as projecting his knowledge in a very comprehensible fashion. The excercises are great and I like the interviews that links to the real world of deep learning.

por Faraz H

Feb 03, 2019

Teaches deep learning and neural networks foundations fundamentally and practically very efficiently, quite concisely. Notation standard a little busy but I think optimum. Only thing was the contradicting matrix representations of W and X from lecture notes to the Python notebook medium: Sometimes X has m rows and sometimes it has n_x rows, and sometimes W becomes its transpose, even in the vectorized for all data points cases. Though, in the end, it helps one pay more attention.

por Sverrir T

Feb 03, 2019

Very accessible presentation of the material, good assignments.

por ChenRan

Jan 22, 2019

it's a nice course to learn the base theory of neural networks.

por Gaby

Jan 21, 2019

非常用心的一门课!感谢 Andrew Ng。通过作业能对课程内容有更深刻的理解。Andrew 的授课风格我也很喜欢,会继续后面的课程。

por Muhammad Z B

Jan 22, 2019

An excellent course for beginners in machine learning.

por dhruv k

Jan 22, 2019

All nn enthusast must do this

por Nitin S

Jan 21, 2019

Exceptionally Good

por Si Z

Jan 22, 2019

very nice course, step by step build NN was super helpful!

por Asher L

Jan 21, 2019

Great course. Doubles up quite a lot of stuff from the ML intro course.

por rajesh t

Jan 22, 2019

Contents are very good.