anhvu2501 / Self-taught-Projects

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Self-taught-Projects

These are some projects that I have done in order to have a better grasp of applying Deep Learning models into a specific problem.

  • Object Detection by using YOLO v3 - based on tutorial on ComputerVisionZone
  • YOLOv3 using pretrained weights and network from darknet - based on a blog on machinelearningmastery
  • A model trained by apply the idea of VGG-16 (just use a small number of layers) and trained on flowers dataset => Evaluation: ~98%

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