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  1. Machine Learning Library
  2. ML-461

Using the GNN bundle with TensorFlow to train a model to find known faces

    Details

    • Type: New Feature
    • Status: Open
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: None
    • Labels:

      Description

      The full details of this student intern project can be found on the wiki here: https://wiki.hpccsystems.com/display/hpcc/Process+robotics+data+with+HPCC+Systems

      Here are the main project requirements:

      Completion of this project involves:

      • Producing design documentation
      • Develop GNN ECL code to train a model
      • Checked in code
      • Documentation

      Data processing with HPCC Systems involves:

      • Learning HPCC Systems architecture
      • Learning ECL
      • Learning HPCC Systems ML GNN
      • HPCC Systems GNN (TensorFlow)
        • Docker Image
        • VirtualBox
        • Hyper-V (VHD)
        • AWS AMI

      Processing image data with HPCC Systems GNN involves:

      • Collecting images
      • Pre-processing the images. For example should we need down size the image?
      • Spraying the image data to thor
      • Use GNN to train the model. There are lots of works needed here. Mainly find suitable hyper-parameters
      • Saving the model

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            • Assignee:
              JackFields Jack Fields
              Reporter:
              lorraineachapman Lorraine Chapman
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              • Created:
                Updated: