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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 deeplearning.ai

4.9
63,453 calificaciones
12,006 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

GC

May 31, 2019

I have learnt a lot of tricks with numpy and I believe I have a better understanding of what a NN does. Now it does not look like a black box anymore. I look forward to see what's in the next courses!

AA

Sep 02, 2019

I highly appreciated the interviews at the end of some weeks. I am currently trying to transition from a research background in Systems/Computational Biology to work professionally in deep learning :)

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11551 - 11575 de 11,788 revisiones para Redes neurales y aprendizaje profundo

por Xiong Z

Sep 03, 2019

like my star

por sherryz

Sep 03, 2019

It would be better to replace handwritten formula with printed formula, cause sometimes the handwritten superscript is not easy to be recognised, which distract a lot.

por 1140325971

Nov 02, 2019

Thank you for your class,but i can't understand the reason of the back propagation.I will continue study hard to find it.

por Ajay L

Sep 22, 2019

The course is excellent. But it is too expensive. Need to sacrifice a lot of money.

por Michelle B M C

Oct 14, 2019

Great course and great course materials. It's beginnings level, you go from a very simple structure to a L-layer NN, so you can actually understand a NN and its parameters and hyperparameters.

You can also tell they've put a lot of energy and dedication into homeworks - they are quite well structured and facilitate a lot students life.

My only (minor) negative comment would be just that: homeworks are quite easy, bc you can follow their advice and tips from the beginning and, if you get 'lazy', you don't need a lot to complete the tasks, even without having to understand exactly what you're doing. I guess you learn as much as you put an effort on learning ;)

por Anne H

Nov 04, 2019

I enjoyed to do this lovingly created course. The only disadvantage: The programming assignments did not make me to learn, since I could event copy paste some lines. One does not have to think about much to get done and there has not been any tranfer task at all. That's not helpful for learning I think.

por Rohit S J

Oct 14, 2019

Assignments and Programming exercises were very easy

por Anirvin S

Sep 04, 2019

Great course if you pay attention to details and want an intro to deep learning.

Few ways it can become even better is by including (even more detailed) descriptions about the libraries and files used in the notebooks.

por Jean-Baptiste D

Nov 05, 2019

Very clear and didactic.

por Chandan N

Sep 28, 2019

Pretty strong introduction to neural networks. This feels like a classroom course and Prof Ng takes his time to slowly introduce and develop concepts. When I did my undergrad, neural networks courses were reserved for comp sci students with high grades and I always felt like it was too difficult to understand for us normal folks. Thanks to Prof Ng to make such complex matters accessible to all as well as structure it in such a remarkably intuitive fashion.

por Collin A

Sep 28, 2019

The assignments could have given less hints to make the information stick a little better

por Aarushi S

Sep 26, 2019

amazing explaination!!!

por Jorge Q

Sep 26, 2019

Good explanations, but I found the programming excercises to be too guided/easy. Only having to copy a function from above doesn't seem to be the best way to learn. I wish it would be a bit less guided in the future.

por Philip H

Sep 27, 2019

I don't think that it was necessary for this course to be four weeks. The course gives a thorough look at how neural networks work and you end up programming a neural network yourself, but I felt like the videos got a bit too repetitive.

por Sakthi V

Sep 29, 2019

Exercises were like too much spoon-feeding, I felt it would have been better if we could have coded by ourself most of the codes was also available in the discussion or in the description

por Vasin A

Sep 29, 2019

Too easy programming assignments. Too much instructions and not enough work to complete.

por Doipayan R

Sep 28, 2019

Week 4 programming assignment could have been simpler in implementation.

por Albert H M

Sep 27, 2019

Great course, but lack of explanation why and when to use np.dot and np,multiply

por qiaohong

Sep 05, 2019

作业难度可以在提升一些,提高编程自由度,仅仅靠模块化的写片段代码不足以训练良好的编程技能

por Sebastian D

Sep 10, 2019

After understanding the math of the shallow NN, too much time is spent on showing the exact same calculations for the deeper network

por Jaswinder S

Sep 08, 2019

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por Robin C

Sep 09, 2019

The programming assignments were very straight forward. I know this course is for a wide audience but I would have like less help in the notebooks.

por Staffan O

Sep 10, 2019

Nice new learning for me. Did never do this before.. Easy to understand and I think this will be an important factor in our future lives.

por Muhammad Y

Oct 01, 2019

The coding part is ambitious. There is no flow in coding that needs an improvement. Overall this is a very good course.

por Dr. M N E

Sep 30, 2019

Very good theoretical course. it moves smoothly from simple regression to deep neural networks. The main drawback is that there are no handouts of what we have been taught.