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The Wild Week in AI - Limits of Deep Learning; DeepMind's IMPALA algorithm; Evolutionary architecture search


The Wild Week in AI

February 12 · Issue #78 · View online

The Wild Week in AI is a weekly AI & Deep Learning newsletter curated by @dennybritz.

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This Week's Sponsor: MarketMuse
Marketmuse Inc.’s M4 Lab (MarketMuse Montreal Machine Monograph Lab) is seeking an NLG Research Scientist to help create the next generation of content generation technologies. Your work will require deep understanding and experience with neural language models and generative deep learning techniques such as VAEs, VAE-GANs, GANs, cGANs, RL-GANs, attention mechanisms, conditional language models, LSTMs or other RNNs. 
We are a small team looking for top scientists excited to advance natural language generation and to have the opportunity to shape our newly formed lab’s research direction and vision. You can apply for our position here or write us at
The Limits of Artificial Intelligence and Deep Learning
Lightmatter aims to reinvent AI-specific chips with photonic computing and $11M in funding nabs $25M to bring machine learning to cancer pathology
Facial Recognition Is Accurate, if You’re a White Guy
Posts, Articles, Tutorials
A Short Introduction to Entropy, Cross-Entropy and KL-Divergence
IMPALA: Scalable Distributed Deep RL in DMLab-30
Discovering Types for Entity Disambiguation (OpenAI)
Introduction to Learning to Trade with Reinforcement Learning
Code, Projects & Data
Lime: Explaining the predictions of any machine learning classifier
DMLab-30 environments
Building a Deep Neural Net In Google Sheets
TensorFlow 1.6.0 (RC0) Release
Highlighted Research Papers
[1802.01548] Regularized Evolution for Image Classifier Architecture Search
[1802.01561] IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
[1802.02871] Online Learning: A Comprehensive Survey
[1802.00614] Visual Interpretability for Deep Learning: a Survey
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