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Implement Multilayer Non-negative Matrix Factorization on Tensorflow 1.x and 2.x

I want to implement a Multiplayer Non-negative Matrix Factorization on both Tensorflow 1.x and 2.x.

The details of implementing algorithm, requirements, evaluation is descibed in the attached file.

Навыки: Tensorflow, Python, Machine Learning (ML), Keras

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О работодателе:
( 2 отзыв(-а, -ов) ) Suwon, Korea, Republic of

ID проекта: #29398345

Поручен:

ranjanisi

Hello, I am working in ML and CV. I can implement a Multiplayer Non-negative Matrix Factorization on both Tensorflow 1.x and 2.x.

$95 USD за 8 дней(-я)
(1 отзыв)
2.0

4 фрилансеров(-а) готовы выполнить эту работу в среднем за $86

saubhagyamweb

***Implement Multilayer Non-negative Matrix Factorization on Tensorflow 1.x and 2.x*** Hi there, I am the best match for this project as I have strong experience with Python, Machine Learning (ML), Tensorflow, Keras, Больше

$100 USD за 7 дней(-я)
(11 отзывов(-а))
6.1
fastlabindia

Greetings!. I checked your 'Implement Multilayer Non-negative Matrix Factorization on Tensorflow 1.x and 2.x' requirements. Your work is one of the tasks that can be done very perfectly by us. I am good in , JAVA, ASP, Больше

$60 USD за 2 дней(-я)
(15 отзывов(-а))
4.6
fatahouahamadi88

Software and data analysis engineer. I have worked several projects with the Tensorflow Framework and I have the precise qualifications for your mission

$90 USD за 7 дней(-я)
(0 отзывов(-а))
0.0