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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

16,053 calificaciones
3,356 reseña

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 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 reseñas

8 de mar. de 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?

13 de ago. de 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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2976 - 3000 de 3,375 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Tipakorn G

20 de abr. de 2020

I wish the course provides references to associated academic papers as well.

por Akhil K

30 de may. de 2019

Good For Beginners with very intuitive delivery of Deep Learning concepts .

por Anas N A M

9 de abr. de 2021

The Course is very simple and easy to learn but the lab is often get error

por Emmanuel j

29 de may. de 2020

A decent introduction to tensor flow through convolutional neural network.

por Rezoanoor/CS/Rezoanoor R

28 de abr. de 2020

The course was great, just expected a bit more discussion on the theories!

por J N B P

6 de ene. de 2021

A good course to start with for learning all about Tensorflow and Keras.

por Aashana N

8 de oct. de 2020

Okay start if you are looking to see how TensorFlow and CNN can be used.

por Kumari M

21 de may. de 2020

Very interactive user interface and a great platform to learn Tensorflow

por Arun H

18 de may. de 2020

The videos were great. The assignments could have been more challenging.

por Michalis F

6 de sep. de 2019

too introductory, can be done in a couple of hours, very good instructor

por Mikhail R

30 de jul. de 2020

Good introduction course and materials (notebooks), but no deep details

por Sriramoju S S

23 de jun. de 2020

It would be great if the programming assignments were more challenging.

por Chunduru G V S P

23 de ago. de 2020

Very basic to take on tensorflow and clean and clear explained videos.

por Archana T R

18 de jun. de 2020

Could have gone a bit deeper into the concepts, overall a good course.

por Marvin D

10 de ago. de 2019

I got a great concept of machine learning using Tensorflow. Great job.

por Marcelo Q

20 de abr. de 2019

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

por Taniya S

10 de jul. de 2020

This is great course to give insights of a framework like tensorflow.

por Ajinkya

4 de may. de 2020

Expected it to be a bit more difficult in terms of quiz and exercise.

por Nicolas R

8 de sep. de 2021

Great introduction, but week 4 is not as good as the 3 other (messy)

por Suoyuan S

5 de ago. de 2020

quite easy to pass, but you can learn basic of tensorflow. have fun!

por Gevis I

19 de jul. de 2020

The course was nice. However, I expected that it would be more deep.

por Ahmed T

25 de nov. de 2019

The concepts are taught very well, but the assignments are too easy.

por Manuel A

21 de sep. de 2019

Basic tensorflow code and simple examples, its ok to getting started

por Fabian A R G

20 de may. de 2021

Not bad, but I hope to see more advanced stuff in the next courses.


29 de dic. de 2020

OK, but it requires some background in deep learning to understand.