mlucy

7 ms·

1. 31.▲
   by mlucy 8y ago

   It depends on the task. If you're doing clustering or instance retrieval, you probably want to PCA the number of dimensions down to 200 or so. (In fact, we do this in the tutorial at https://www.basilica.ai/tutorials&#
2. 32.▲
   by mlucy 8y ago

   Sort of depends on how late "later" is. In the very-long term, I want us to literally have embeddings for everything people want to embed, which will probably include the states of popular boardgames. I'm not sure how we&#x27
3. 33.▲
   by mlucy 8y ago

   "Embedding" is the term I've heard used for this most often. It's definitely the term that seems to dominate in the literature. (Just to pick a random paper off my reading list: https://arxiv.org/abs&#x
4. 34.▲
   by mlucy 8y ago

   Hey all, I did a lot of the ML work for this. Let me know if you have any questions. The title might be a little ambitious since we only have two embeddings right now, but it really is our goal to have embeddings for everything . You can