Revue issue #1

Welcome to the first edition of the weekly newsletter covering Deep Learning Patterns, Methodology an
Intuition Machine
Revue issue #1
By Intuition Machine  • Issue #1 • View online
Welcome to the first edition of the weekly newsletter covering Deep Learning Patterns, Methodology and Strategy.  We’ve come up away to organize the topics to appeal to the broadest of audiences.  The more general topics always are at the top, while more specialized ones are towards the bottom.  We hope that this newsletter we appeal to all those interested in Deep Learning developments.

Trends
Artificial Intelligence Just Broke Steve Jobs' Wall of Secrecy | WIRED
 10 Hot Consumer Trends 2017 - Ericsson ConsumerLab
Events
NIPS 2016 Review, Days 0 & 1 – Gab41
Strategy
10 Exponential Growth Trends in Deep Learning
9 Misconceptions About Deep Learning
Methodology
Machine Learning Yearning
Elon Musk and DeepMind's AI training ground are being released to researchers | WIRED UK
Do machines actually beat doctors? – Dr Luke Oakden-Rayner
Top 10 AI failures of 2016 - TechRepublic
Patterns
The Only Way to make Deep Learning Interpretable is to Have it Explain Itself
Crafting Deep Learning Objective Functions now Obsolete
Deep Learning is Non-Equilibrium Information Dynamics
Interesting Research
Source Code
GitHub - ajarai/fast-weights: Implementation of Using Fast Weights to Attend to the Recent Past
GitHub - deepmind/learning-to-learn: Learning to Learn in TensorFlow
GitHub - jimfleming/recurrent-entity-networks: An implementation of "Tracking the World State with Recurrent Entity Networks".
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