Note: There are also some issues with doing this fine-tuning approach so it is not recommended, see: https://stackoverflow.com/questions/68298289/fine-tuning-pre-trained-word2vec-model-with-gensim-4-0.

I’m making using of Amazon’s OpenSearch. I wanted to search for different keywords with different weights. And then I wanted to add some additional search customizations. The following code should help with that. For more details, you can see https://opensearch.org/docs/latest/opensearch/query-dsl/bool/.

Goal: I want to be able to search through some documents (videos) using Elastic Search’s knn feature with embeddings.

I’m commenting about a commentary I wrote with some colleagues titled “Comment on Rhee et al. Association Between Glycemic Status and the Risk of Parkinson Disease: A Nationwide Population-Based Study.”.

The Udacity RL nanodegree has an exercise coding a deep Q network (DQN). They want you to also add in the replay and a separate target network. For this page, I will keep it simple and ignore those two other additions, and do a ‘plain’ DQN.