settings：huge labeled data for training are difficult to access
then we introduce the trans. learning
definition : adjust slightly the trained model to the new problem
bottleneck denotes the layers before last fully-connected layer, namely the features-extracted part
less effective but more time-conservative
settings：huge labeled data for training are difficult to ...
Transforming tokens into features
没有痛，就不会想去努力改变； 没有快乐，就不愿意去奋力追求！ 在追求与等待的过程中， 痛并快乐着！
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本文标题：2018-08-13 transforming learning
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