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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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2,917 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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1226 - 1250 de 2,911 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Vladas

26 de oct. de 2020

It is a really good course with very good examples and explanations!

por Benjamin S

12 de oct. de 2020

Very comprehensive, even if you are a newbie to Python or TensorFlow


16 de jun. de 2020

This is a very basic course for TensorFlow. I liked the assignments.

por Fahmi J

10 de abr. de 2020

Awesome course, clearly explained. No big talks, hands on as always!

por Chockalingam M

12 de feb. de 2020

Excellent course for the learners interested in learning Tensorflow.

por J G

29 de abr. de 2019

A very good introduction to Deep Learning by using the tf framework.

por sonic s

24 de may. de 2020

good course ,Laurence sirs explanation is very simple to understand

por Jayant S

16 de may. de 2020

The Instructor is good and i learned many new things in tensor flow

por Navneet P

12 de dic. de 2019

a beautiful way of learning and developing the skills in tensorflow


17 de ago. de 2019

jupyter kernal breaks some time, other than that everything is good

por Yashar Z

16 de jul. de 2019

This is a great course and the teacher explains everything clearly.

por Muhammad U

9 de jul. de 2019

A very useful and thorough course which covers the basics very well

por Cyrille D

6 de may. de 2019

This course is well structured and easy to follow. Thanks Laurence!

por Advay M

9 de nov. de 2020

Nice Code Practice

pls add little deep insights of Neural Networks

por Mohammed S

6 de sep. de 2020

The explanation is too good

thanks to instructor moroney and andrew

por Hemant J

24 de ago. de 2020

This is useful course. It helps in learning basic of Tensor Flow ,


19 de jul. de 2020

It gave me great start in Deep Learning.

Thanks Sir,

Thanks Coursera

por Pranshu C B S N

4 de jul. de 2020

A good course with comprehensive material. Very helpful. Thank Yoo

por Rishabh R

24 de jun. de 2020

A great course if have prior knowledge behind the maths part of DL

por Cheuk L Y

15 de jun. de 2020

Quizzes could be better. But overall very practical and effective.

por Abhishek S

30 de may. de 2020

It's a nice course! Recommended for all the enthusiasts out there.

por Hector B

26 de may. de 2020

Very informative, well structure and excellent practice notebooks.

por Abhay A

18 de abr. de 2020

Very helpful course on Tensorflow with amazing hands-on exercises.

por Ehsan A D

24 de mar. de 2020

This is a good beginning course for learning how to play with CNN.

por Ranvir S

27 de feb. de 2020

Great course...hands on and practical use cases. Highly recommend.