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