• Twitter
  RT @oliviasolon: Hipster whines at tech mag for using his pic to imply hipsters look the same, discovers pic was of an entirely diff…
• Team Ladislaw: What Henry James (and Everyone Else) Gets Wrong About Middlemarch – The Millions
• When Will Climate Change Make the Earth Too Hot For Humans?
• Twitter
  RT @jacobsfdavid: If the horrors of the Holocaust can only be understood when relayed by those who experienced it firsthand, we’re in…
• Hipster whines at tech mag for using his pic to imply hipsters look the same, discovers pic was of an entirely different hipster • The Register
• google/python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
• [1811.03604] Federated Learning for Mobile Keyboard Prediction
  We train a recurrent neural network language model using a distributed, on-device learning framework called federated learning for the purpose of next-word prediction in a virtual keyboard for smartphones. Server-based training using stochastic gradient descent is compared with training on client devices using the Federated Averaging algorithm. The federated algorithm, which enables training on a higher-quality dataset for this use case, is shown to achieve better prediction recall. This work demonstrates the feasibility and benefit of training language models on client devices without exporting sensitive user data to servers. The federated learning environment gives users greater control over the use of their data and simplifies the task of incorporating privacy by default with distributed training and aggregation across a population of client devices.
• [1902.01046] Towards Federated Learning at Scale: System Design
  Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralized data. We have built a scalable production system for Federated Learning in the domain of mobile devices, based on TensorFlow. In this paper, we describe the resulting high-level design, sketch some of the challenges and their solutions, and touch upon the open problems and future directions.
• Introducing TensorFlow Federated – TensorFlow – Medium
• Revealed: the rise and rise of populist rhetoric | World news | The Guardian
• Contextual Bandits and Reinforcement Learning – Towards Data Science
• DQN | DeepMind
• (2) Reinforcement Learning in TensorFlow with TF-Agents (TF Dev Summit ’19) – YouTube
• Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/Ch1_Introduction_TFP.ipynb at master · CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers · GitHub
  tfp port
• Bayesian Methods for Hackers

Digest powered by RSS Digest