Welcome to A deep learning pipeline for image classification on mobile phones documentation!

Content

• Find a dataset
  • Directory form.
• Cancer classification
  • python imports
  • Helper functions
  • Step 1 - Train the model.
  • Step 2 - Convet Model to TFlite And AddDetadata
  • Step 3 - Convet Model to TFlite And AddDetadata
  • Step 4 - Make Android Application
• Covid classification
  • python imports
  • Helper functions
  • Step 1 - Train the model.
  • Step 2 - Find the Best Model And reduce the model’s size
  • Step 2 - Plot parameter reduction
  • Step 3 - Convet Model to TFlite And AddDetadata
  • Step 3 - Convet Model to TFlite And AddDetadata
  • Step 4 - Make Android Application
• Tree classification
  • python imports
  • Helper functions
  • Step 1 - Train the model.
  • Step 2 - Convet Model to TFlite And AddDetadata
  • Step 3 - Add Metadata to Mode
  • Step 4 - Make Android Application