View profile

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

Revue
 
If you enjoy the newsletter, please consider sharing it on Twitter, Facebook, etc! Really appreciate
 

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.

If you enjoy the newsletter, please consider sharing it on Twitter, Facebook, etc! Really appreciate the support :)

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 science@marketmuse.com.
News
The Limits of Artificial Intelligence and Deep Learning
Lightmatter aims to reinvent AI-specific chips with photonic computing and $11M in funding
Paige.ai 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
Did you enjoy this issue?
Thumbs up 1ae5a7bdfcd3220e2b376aa0c1607bc5edaba758e5dd83b482d03965219a220b Thumbs down e13779fa29e2935b47488fb8f82977fedcf689a0cc0cc3c19fa3c6bb14d1493b
If you don't want these updates anymore, please unsubscribe here
If you were forwarded this newsletter and you like it, you can subscribe here
Powered by Revue