PaddleClas-en
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  • image_recognition_pipeline
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  • algorithm_introduction
  • advanced_tutorials
    • Image Augmentation
    • distillation
      • Knowledge Distillation
    • Multilabel Classification
    • Model Quantization and Pruning
    • Code Overview
    • How to Contribute to the PaddleClas Community
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PaddleClas-en
  • advanced_tutorials
  • distillation
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distillation¶

  • Knowledge Distillation
    • Introduction of model compression methods
    • SSLD
      • Introduction
      • Data selection
    • Experiments
      • Choice of teacher model
      • Distillation using large-scale dataset
      • finetuning using ImageNet1k
      • Data agmentation and Fix strategy
      • Some phenomena during the experiment
    • Application of the distillation model
      • Instructions
      • Transfer learning
      • Object detection
    • Practice
      • Configuration
      • Begin to train the network
      • Note
    • Reference
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