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Replicate a jupyter notebook on domain similarity using PyTorch and CNNs

Notebook in question: [login to view URL]

Paper in question (page 4): [login to view URL]

I would like to replicate what's is above, in PyTorch, using my own datasets and other related datasets available online.

The aim being to calculate which of the datasets available online is more similar in domain.

Data can be provided, or, if you wish (as it may be more convenient for yourself) you can use some toy data (therefore won't be required to download and have transferred GBs of images), and I can replicate the process locally.

Work to be done in Jupyter Notebook

Evner: Kunstig intelligens, Maskinoplæring, Python, Pytorch, Teknisk Support

Se mere: detect feeds domain using php, domain name environment using, using yahoo domain key setup, simple pytorch cnn, pytorch tutorial github, simple mlp pytorch, pytorch cnn, pytorch examples, pytorch attention cnn, pytorch book, pytorch autoencoder tutorial, detect domain already use using php, using vbs create users domain excel, using interspire shopping cart domain name, using domain name wordpress email, healthcare domain using core java project, open wordpad using notebook excel, vbscript create domain user accounts using excel, free domain provider using subdomain, image similarity using aforge

Om arbejdsgiveren:
( 0 bedømmelser ) Aldershot, United Kingdom

Projekt ID: #18931727

5 freelancere byder i gennemsnit £153 på dette job

shadabkhan92

https://www.freelancer.com/projects/Python/Qualitative-Comparative-Study-Face-13933384/ https://www.freelancer.com/projects/software-architecture/Small-Python-programming-project/ lets discuss

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olaideejiwole

I have extensive experience in the domains of Natural Language Processing, Image Recognition & Artificial Intelligence'Trim,Recommender Systems,Machine learning,Data Minning, Deep Learning, Computer Vision, AI text ana Flere

£40 GBP på 1 dag
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archanadas

As discussed previously. As discussed previously. As discussed previously. As discussed previously. As discussed previously. As discussed previously. As discussed previously.

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3.5
kypbasdila79

No all over my proposal are to disappointed and very lazy item to add that. And i don't know to how is it work. Please to need help.

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siddhartht01

In-Depth Knowledge of Python,tensorflow and Pytorch. Experience Working with Deep Learning Algorithms.

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