Links, notes, and thoughts related to artificial intelligence. Varying levels of organization. For 4 months.

Algorithmic Justice League — The Coded Gaze and InCoding

Relevance realization

In the face of these daunting problems, one may attempt to get around these thorny conceptual/theoretical issues concerning relevance realization via ‘reverse engineering’ [8]. Under this methodology, attempts to directly understand cognition are abandoned, and research is instead focused onto designing an intelligent machine. …


Links, notes, and thoughts related to artificial intelligence. Varying levels of organization. For 4 months.

Arrived in Boston yesterday. Assembly begins tomorrow!

A few miscellaneous links:

Generating abstract patterns with Tensorflow

deeplearn.js

Compositional pattern-producing networks (CCPN)

5th CHiME Speech Separation and Recognition Challenge


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The Socratic Kiss, II

Background

This is Part 3 of 3 in a tutorial series for getting started with GPU-driven deep learning. These tutorials are intended for anyone who is interested in figuring out what it takes to get started with deep learning on a personal machine that costs less than $2000. This assumes you have some familiarity with machine learning and deep learning. This series will cover:

  1. Part 1: How to build a GPU deep learning machine
  2. Part 2: Setting up Ubuntu and Docker for deep learning
  3. Part 3: Using deep learning with style transfer

Recommended Reading

Papers

Leon A. Gatys, Alexander S. Ecker, Matthias…

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