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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

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1,060 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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851 - 875 de 1,058 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Jingwei L

Aug 22, 2019

A brilliant start for a learner who is eager to engage in AI. For me, a Chinese practitioner, the Chinese subtitle could be uploaded as soon as possible.

por anujeet

Dec 04, 2019

It is definitely an exciting course to kick start your experience into deeplearning . Kudos to the course instructor Laurence Moroney for this course .

por Edir G

May 11, 2019

These courses are a great complement for the theoretical deeplearning.ai courses, I recommend you do this after and learn more about the modern tools.

por RK

Aug 14, 2019

Great material. The grader and jupyter notebooks need to converge with the github repo. Copies of original assignments on github would really help!

por Warren B

Jul 22, 2019

A good intro to computer vision. You may want to supplement your course with external content to fill in gaps that will differ for each of us.

por Edward S

Mar 13, 2019

Great introduction on Tensorflow and some key concepts of NN, however I find the course fees is slightly too expensive for such an introduction.

por gu t

Aug 30, 2019

too easy for experienced programmer, only introduce keras instead of full tensorflow api, it will helps if an advanced course can be offered.

por Samarjeet K

May 30, 2019

It was a pretty amazing course. Beginner level, not course heavy . Being a beginner, I didn't even for once feel tuned out or lost interest.

por MADHU M S

Apr 28, 2019

This course helped me lot as beginner.The only thing is why the assignments were still marked as unfinished even though i have finished it.

por Allan A D

Apr 08, 2019

It is a good intro for CNNs and Keras+Tensorflow, but it felt too basic. Also, adding some projects would've raised the challenge a bit.

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 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 Ana E H H

Jul 16, 2019

I learned a lot about image processing, TensorFlow and CNN.

The exercises are useful to practise the coding and concepts.

Thank you

por Tongxi L

Jul 02, 2019

good introduction, but only introduction is not practice, just classifier from tensorflow dataset is not helpful for real problem

por Super-intelligent S o t C B

Jul 31, 2019

Nice course. Gives you and overview of building neural networks. Touches on many subjects, but doesn't dive too deep into them.

por Maad S

Aug 22, 2019

The course is very well set for learning it give full experience of learning and the course instructor is very great teacher

por Saeif

Aug 19, 2019

I faced many problem with the grader. Please fix it. You can see from the forum that are many people facing problem with it.

por Clay B

Jul 16, 2019

Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.

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 Shabab H

Jun 02, 2019

Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.

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 Matthew

Sep 29, 2019

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

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 Kofi D A

Jul 16, 2019

Always amazed at what coursera has to offer..if anything it has given me purpose as to what i want to pursue in future

por Franky L C H

Apr 25, 2019

Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners