Few-shot learning in NLP: many-classes classification from few examples

Posted on Sun 19 August 2018 in posts • Tagged with python, machine learning, deep learning, natural language processing

If you're doing machine learning and meet a classification problem with many categories and only a few examples per category, it is usually thought that you're in trouble 😨. Acquiring new data to solve this issue is not always easy or even doable. Luckily, we'll see that efficient techniques exist to deal with this situation with Siamese Neural Networks 🕺.


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