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deep-learning-on-graphs's Introduction

Deep Learning

Resources

Python Tutorials

TensorFlow Tutorials

Paper

Reduce Overfitting

Data

Applications

Object Detection

  • Distance detection of objects
  • Detect friends on images based on their facebook profiles
  • Detect emotions from photos and represent them with an emoji
  • Detect rotations/poses of objects and replace them with objects that have a similar rotation

Vector Graphics

  • Convert svgs as graphs to input them in neural networks
  • Convert pixelbased images to vectorbased images
  • Fake Chine Characters in Vector Format with TensorFlow
  • Create responsive svgs via Attention Detection (see SVG has more potential)
  • Comparison: Performance and accuracy tests on different networking tasks like classification on pixelbased images and pixelbased images converted to vector graphics

Fonts

Image Generation

Graph-based image classification

  • Efficiency and Performance by converting images to superpixels, segmentation graphs or svgs

deep-learning-on-graphs's People

Contributors

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deep-learning-on-graphs's Issues

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