A rehosting of the articles seen in the lab41 medium blog

Articles

1. 850k cars in 24 hours - How to make a dataset fast
2. Iterating through Siamese network designs - Shortcuts for iterating models
3. Better software by using precommit hooks - Perform software validation steps in your github environment
4. Datascience and docker - How Lab41 uses docker in its datascience stack
5. Anything2Vec - Embed any vector, explaining word2vec with matrices
6. Batch Normalization - Batch normalization; explaining how it works
7. Sampling and Deep Neural Networks - A look at sampling methods when you want to use wide and deep neural networks
8. Matching Cars with Siamese Networks - Lessons learned from using a Siamese Network to match vehicles
9. Introducing source-contrastive estimation - Learning deep embeddings for audio source separation
10. Object Localization - Object Localization without Deep Learning