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Adaptive Learning Model Based on Small Number of Samples

Environment

  • keras
  • python3
  • sklearn
  • pandas
  • numpy
  • h5py

DataSet

  • IMDB data set

Use

    python adaptive_learning.py

Result

  • save result in the 'result' folder

dataset

  • dataset A (3000/10): train model 1 and using 0.2 part validate the model
  • dataset B (100): using model 1 generate model2 data and train model 2 and using 0.2 part validate the model
  • dataset C (100): test the model1&model2
  • the positive data count is equals the count of the negative data