This time we have a look into the magnitude library, a feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning
models in a fast, efficient, and simple manner developed by Plasticity. We want to utilize the embeddings magnitude provides and use them in keras.
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Mixture models trained via EM are among the simplest, most widely used and well understood latent variable models in the machine learning literature. This paper by facebooks fairseq explores their use in text generation applications such as machine translation.
Code can be found here.
Tipps & Tricks
Sacred is a tool to help you configure, organize, log and reproduce experiments.
