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Opiniones y comentarios de aprendices correspondientes a Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning por parte de deeplearning.ai

4.7
4,420 calificaciones
877 revisiones

Acerca del Curso

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Principales revisiones

AS

Mar 09, 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

RD

Aug 14, 2019

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.

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776 - 800 de 876 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Gerardo S

Sep 24, 2019

excercises could be better

por Jim D

Sep 25, 2019

I really liked that it was very hands-on and made it very quick and easy to get up to speed on using TensorFlow for Machine Learning. That said, there was a lot less content that I expected (I finished the '4-week' course in about 1.5 days), and I was a bit disappointed that the focus was exclusively on image classification. A little variety in terms of the problems being solved would've been nice.

por Trisha N

Oct 18, 2019

This course gives a good introduction to tensorflow with explanations of each parameters used be it layers or filters. It mainly gives an experience of hands-on course on tensorflow.

por Brian ( B

Oct 16, 2019

very practical courses with examples. May address some knowledge on NN architecture design, such as why place an additional flatten layer before the final layer. Some cases, we didn't need such layer and the reason why?

por Matthew

Sep 29, 2019

Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.

por Jefferson D R C

Sep 27, 2019

easy

por narendra@live.com

Oct 01, 2019

This is a great course with very useful lessons that helps the students feel confident about implementing Deep Learning solutions. It is a perfect follow up for Deep Learning Specialization which lays down the theoretical foundations. The instructor is great, and he talks about real world problems (not just Fashon MNIST but non centered, colored and large images) and explains them very clearly.

There is some amount of lack of attention to details in the course which manifest itself specially in the code (typos, code and code comments not agreeing with each other, and entire lessons which are slotted for 10 minutes or more but dont have any action other than pressing the "mark as complete" button, which makes you feel that you are missing something. Also the discussion board isnt as responsive (especially moderators) as the other Deeplearning.ai courses have been in the past.

por Noel B

Oct 21, 2019

The content of this course is fantastic. The only reason for a four-star review is due to the troublesome auto-grader.

por 吴一尘

Oct 04, 2019

系统的初步了解了Tensorflow2.0版本,理解很深刻,讲解很好!!

por Taku O

Oct 07, 2019

Videos are fantastic, especially when visually illustrates max pooling and convolutions. course works are somewhat seemed like fill the blank type of assignment and does not require deep understandings.

por Igors K

Oct 25, 2019

Awesome course. I just wish I didn't have to write the same stuff over and over again.

por Sergej H

Oct 30, 2019

This first course is a short one, indeed an introduction one.

por Syed T H

Oct 12, 2019

Pretty easy course for those who wants to know about tenserflow

por Sweta B

Oct 12, 2019

The instructor is explaining really nicely but some of the aspects of the code is not explained vividly.If that is included , then the course can definitely be perfect.

por Mayukh S

Oct 13, 2019

It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.

por Dirk H

Nov 06, 2019

The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.

por Boelo N

Nov 02, 2019

I appreciated the bite-size introduction of the concepts involved. It has given me the confidence to handle more complex concepts.

por PURUSHOTTAM Y B

Nov 07, 2019

Loved it a lot nice course give intro to deep learning ,ai ,ml using tensorflow

Most loved part is the assignment and completing it

por 俞轩隆

Nov 09, 2019

It's good enough for beginners, but I have to say it's still a little bit easy. Maybe teacher can give us more reading materials or show us more interesting projects that we can reach after this Specialization and I think that can be called an introduction. But anyway, I think the course is better than many tutorials on the Internet.

por Osama A

Nov 16, 2019

Hope to add an explanation for eager execution & subclassing

por SLQ

Nov 15, 2019

basic and interesting

por Venkatesh S

Nov 14, 2019

The instructor could have explained some of the code better.

por SANJAY R

Nov 16, 2019

Really Interesting and an Easy to Go Course!!!

por Oren Z

Mar 30, 2019

Not what I hoped to see. Thank you for the producers for the efforts.

por Reza Y

Mar 30, 2019

Forum is not supervised actively.