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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

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3,336 reseña

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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 3,362 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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.

por Matías B

27 de may. de 2020

The material is good but there could be more content in the course.

por shravan c

25 de dic. de 2019

exercise is very good. we are sure to get a hands-on the TensorFlow

por Marc

21 de nov. de 2019

Thanks, learning was really easy because of the clear explanations.

por Ankit J

21 de jul. de 2020

Decent course if you have some background on deeplearning already.

por Sarwar A

16 de jun. de 2020

It's a basic course on building deep learning models. So point 4.


13 de mar. de 2020

Its a good course for kick start in Tensorflow and neural network

por Bogdan S

23 de mar. de 2020

A lot of external material. Would be better to have it in-place.

por Suphan F

19 de ago. de 2019

Overall is good. The content is too easy for one course, though.

por Ken S

17 de ago. de 2020

A great Introduction into an obscenely complex topic.

Thank you!

por Rakesh G

10 de ene. de 2020

A very good high level introduction on how to use TensorFlow :D

por Syed T H

12 de oct. de 2019

Pretty easy course for those who wants to know about tenserflow