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An artificial neural network is an interconnected group of nodes, akin to the vast network of neurons in a brain. Hire Neural Network Engineers

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    Requirements about the project in the document :)

    $218 (Avg Bid)
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    10 bids

    Looking for data scientist/AI expert to develop methodology for creation of dataset for GNN (Graph Neural Network) application Requirements: -qualifications and experience in data science/AI & related fields -expert in GNN (Graph Neural Network) -ability to consistently produce and deliver high quality work If you fulfill requirements above, please send (a) CV (b) examples of AI project/ work you have done

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    16 bids
    Neural Network neurallead.com 4 days left
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    Before making any bids, it is necessary to know , software for the prototyping of neural networks, or similar. It is necessary to know how spike neural networks work. Automatic bets will be discarded immediately. More information will be given in private chat

    $4250 (Avg Bid)
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    Looking for Matlab Experts 4 days left
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    We are looking for Matlab/SIMULINK experts in following domains of engineering. ---->>> Power Systems ---->>> Control systems ---->>> Digital Signal Processing ---->>> Image Processing ---->>> Artificial Intelligence ---->>> Micro-grid simulation ---->>> Discrete Fourier transform ---->>> Neural Network/ Natural Language Processing ---->>> Deep Learning and Computer Vision We encourage new freelancers to bid on this project.

    $388 (Avg Bid)
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    19 bids

    I need to extract historical weather data. I have the longitude latitude and timestamp stored in separate columns: This dataset contains check-ins in NYC and Tokyo collected for about 10 month (from 12 April 2012 to 16 February 2013). It contains 227,428 check-ins in New York city and 573,703 check-ins in Tokyo. I need one more attribute "weather" that you can extract using longitude latitude and timestamp Weather in sunny, cloudy, or rainy

    $23 (Avg Bid)
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    3 bids

    I need implementation in python or Matlab using a neural network... Given a comprehensive recommendation system, which has the aptitude to learn users’ long and short-term preference for the next Point of Interest recommendation. • Evaluate the model performance for both cold and non-cold start users together to overcome the data sparsity problem arise due to cold-start users. • Cold-start users are those with little historic data i.e. having little check-in records. • The probability estimation heavily relies on other users (non-cold-start users). • A combined technique will be used in this work to understand user check-in behavior at certain place and time learning contextual features of (POIs) and to mine long and short term user preference together [6]. &bull...

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    9 bids

    I am interested to work on a long-term research project where I need to conduct a depth study to find a gap or modify method (Approach) in the area of Deep Learning optimization for the edge devices. I am planning toward research and publication. Please contact me if interested.

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    14 bids

    i have database of a few millions images, i need way to detect the closest ones from that library

    $150 (Avg Bid)
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    6 bids

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