# Tag: Distributed Representation (4)

**The Rise of Vector Data** - May 25, 2021.

Embedding models convert raw data such as text, images, audio, logs, and videos into vector embeddings (“vectors”) to be used for predictions, comparisons, and other cognitive-like functions.

Tags: Distributed Representation, Pinecone, Representation

**The Amazing Power of Word Vectors** - May 18, 2016.

A fantastic overview of several now-classic papers on **word2vec**, the work of Mikolov et al. at Google on efficient vector representations of words, and what you can do with them.

**Pages:** 1 2

Tags: Distributed Representation, NLP, word2vec

**Why Deep Learning Works – Key Insights and Saddle Points** - Nov 3, 2015.

A quality discussion on the theoretical motivations for deep learning, including distributed representation, deep architecture, and the easily escapable saddle point.

Tags: Deep Learning, Distributed Representation, Matthew Mayo, Yoshua Bengio

**Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2** - Mar 26, 2015.

Key ideas from a podcast with Deep Learning gurus Geoff Hinton, Yoshua Bengio, and Yann LeCun, where they explain the power of distributed representation and also propose a new open paper review process.

Tags: Deep Learning, Distributed Representation, Geoff Hinton, Ran Bi, Yann LeCun, Yoshua Bengio