Few-shot learning on textual data with siamese neural networks¶
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 🕺.
Interpreting recurrent neural networks with LIME¶
This is the second part of my blog post on the LIME interpretation model. For a reminder of what LIME is and its purpose, please read the first part. This second part is a quick application of the same algorithm to a deep learning (LSTM) model, while the first part was focused on explaining the predictions of a random forest.