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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
4,593 calificaciones
907 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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676 - 700 de 902 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Alexander B

Mar 17, 2019

I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.

por Abdoulaye D

Mar 18, 2019

Good introduction

por Amal A

Apr 29, 2019

It would be better if there was programming assignement. The Quiz were very easy.

por João A J d S

Apr 30, 2019

It's a great course! Very well structured, with an amazing amount of jupyter Notebooks (Colab) to work with, in a real hands on approach.

Just one criticism, which is why I didn't classify it as 5 Star: There isn't much of an evaluation. The tests are a bit easy, and it would be good to have at least one extensive assignment (maybe with other datasets...).

It's just that I feel the contents were really good. But if I can just pass the tests easily, I feel it doesn't really count as much of a "quality stamp" (to have passed this course).

por Ravi B

Apr 19, 2019

It is really nice and explains a lot of things but could have been easier to understand.

por Wenjing L

May 03, 2019

I learnt PyTorch prior to TensorFlow. Still found this course is very helpful. Thanks to the instructors. The only thing is, I wish all the reading links could be listed down on one page, and all the notebook links arranged together.

por Marcelo S Q

Apr 20, 2019

Good if you have a good knowledge on ML and core concepts in you head.

por Zikai X

Apr 22, 2019

课程内容十分有用且清晰,只是内容较少、习题过于简单了

por Oliver W

May 05, 2019

It was pretty basic but good.

por Phuoc H L

Apr 24, 2019

More practical marked exercises and exams should be good.

por Dhruv

Apr 13, 2019

excellent course

por Jaidev

Apr 28, 2019

Very well organized. Good speakers. Content is comprehensive for a Introductory Course. A little more explanation on Validation versus Testing and on some of the evaluation functions would be helpful.

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 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 Rafael R C

Mar 25, 2019

Me gustó el curso, muy explicativo y lleno de recursos, aunque solo rasca la superficial. Hay muchas cosas mas por aprender. Los foros no reciben respuesta tan rápida. Si bien es cierto google Colab, ayuda a esta tareas, cuando se quiere pasar al computadora personal se complica por versiones o librerías faltantes.

por Ons B

Mar 25, 2019

good content for a beginner

por Shantam V

Apr 07, 2019

Great course for introduction to TensorFlow

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 Bakhti Y

Mar 27, 2019

One of the best courses in Tensorflow for beginners

por Samuel D

Mar 27, 2019

Good basic level course. Keras to build CNN model

por Hubert S

Apr 11, 2019

a bit redundant with the

Deep Learning Specilization by Andrew Ng but a very good reminder

por TSEBO C M C

Mar 29, 2019

A Good course presenting many interesting concepts about computer vision and convutionnal neural networks.

por Stephen B

Apr 11, 2019

Good course, somewhat easy, but I anticipate a lot more new and interesting and useful stuff in the remaining sessions yet to be offered. It would be good to point out what is now Tensorflow 2.0. I anxiously await the new material. Thanks!

por Tarang D

Apr 12, 2019

It was a quick and dirty introduction to Machine Learning.

por Noman I

Mar 30, 2019

The code on colab notebook is not clearly visible on screen