Table of Contents

• ⭐ Memex
• ⭐ Prepping
• 🗄️ Reading list
• Computing
• Intro
• Mind
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• Self?
• Singularity
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• Various Linux things
• android
  • Android
  • android-misc
• biology
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  • biology-misc
• blog
  • ⭐ Blog related stuff
  • Why use static blog?
• books
  • "4 Hour Body" by Tim Ferris
  • Book log
  • Programming in the XXI century
• food
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• health
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• infra
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• languages
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• misc
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  • EEG/EMG
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  • x
• music
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• physics
  • 🚧 Fun with lagrangians
  • Astronomy
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  • physics-misc
  • physics-papers
• pkm
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• programming
  • ⭐ Building cool software projects
  • ⭐ Elisp sucks (and can we make it suck less?)
  • 🗄️ Programming (uncategorized)
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  • Agda
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  • Elisp
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  • programming/python
    • 📜 Python as an interactive shell
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    • Error handling
    • Python
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    • Some things and techniques I like python for
    • Various cool python tricks I want to write about
• projects
  • ⭐ Backup cleanser
  • ⭐ Cachew
  • ⭐ Cannon
  • ⭐ Dashboard
  • ⭐ HPI (Human Programming Interface)
  • Axol: search alerts
  • Cloudmacs
  • Dron: my job scheduler
  • Exobrain: building and inspiration
  • Grasp
  • Orger
  • Other projects I’ve started
  • Promnesia
  • Timeline
  • Vizualizing fundamental group
  • projects/ext
    • Third party projects I’m involved in
• quantifiedself
  • Quantified self
  • Sleep tracking
  • qs-misc
• setup
  • Managing dotfiles
• soft
  • Decentralized/federated services
  • Dictation/speech recognition
  • Emacs
  • Orgparse
  • Shell concepts
  • apps for reading RSS
  • git
  • vim
• study
  • Learning: meta
  • TODO list for learning
  • study-misc

summary

Go back to the [[AI Glossary]]

#TensorFlow

In TensorFlow, a value or set of values calculated at a particular step, usually used for tracking model metrics during training.

supervised machine learning

Training a model from input data and its corresponding labels. Supervised machine learning is analogous to a student learning a subject by studying a set of questions and their corresponding answers. After mastering the mapping between questions and answers, the student can then provide answers to new (never-before-seen) questions on the same topic. Compare with unsupervised machine learning.