Dexa/Gradient Dissent - A Machine Learning Podcast

Embedding Network Challenges

Filip shares the struggle of training an embedding network with triplet loss due to data masking issues, leading to missed negative samples. This challenge highlights the importance of data integrity in training machine learning models.

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From this podcast
Gradient Dissent - A Machine Learning Podcast
Amelia & Filip — How Pandora Deploys ML Models into Production
Related Questions
- How do vector embeddings work in relation to the episode Vector Similarity Search at Scale // Dave Bergstein // MLOps Coffee Sessions #52 and the clip Neural Net Essence?