models_training

• Configuration Instruction
  • Introdction
  • Details
• Image Recognition
  • Catalogue
  • 1. Mainbody Detection
  • 2. Feature Model Training
  • 3. Vector Search
  • 4. Basic Knowledge
• Image Classification
  • Catalogue
  • 1. Dataset Introduction
  • 2. Image Classification Process
  • 3. Application Methods
• Tricks for Training
  • Catalogue
  • 1. Choice of Optimizers
  • 2. Choice of Learning Rate and Learning Rate Declining Strategy
  • 3. Choice of Batch_size
  • 4. Choice of Weight_decay
  • 5. Choice of Label_smoothing
  • 6. Change the Crop Area and Stretch Transformation Degree of the Images for Small Models
  • 7. Use Data Augmentation to Improve Accuracy
  • 8. Determine the Tuning Strategy by Train_acc and Test_acc
  • 9. Improve the Accuracy of Your Own Data Set with Existing Pre-trained Models
  • Reference