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AI
Ctrlk
  • Artificial Intelligence
  • Intuitive Maths behind AI
  • Overview
  • Cool Reading list
  • Research Ideas and Philosophy
  • Basic Principles
  • Information Theory
  • Probability & Statistics
  • Linear Algebra
  • Optimization
    • Derivatives
    • Regularization
    • Gradient Descent
    • Newton's Method
    • Gauss-Newton
    • Levenberg–Marquardt
    • Conjugate Gradient
    • Implicit Function Theorem for optimization
    • Lagrange Multiplier
    • Powell's dog leg
    • Laplace Approximation
    • Cross Entropy Method
  • Statistical Learning Theory
  • Machine Learning
  • Deep Learning
  • Bayesian Deep Learning
  • Reinforcement Learning
  • Transformers
  • LLMs
  • SSL, ViT, Latest vision learning spring
  • Diffusion Models
  • Distributed Training
  • State Space Models
  • RLHF
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  • Continual Learning
  • Computer Vision
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  • Deep Learning Book
  • Project Euler
  • Python
  • Computer Science
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  • How To Do Research
  • Resources
  • ROS for python3
  • Kitti
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Optimization

DerivativesRegularizationGradient DescentNewton's MethodGauss-NewtonLevenberg–MarquardtConjugate GradientImplicit Function Theorem for optimizationLagrange MultiplierPowell's dog legLaplace ApproximationCross Entropy Method
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Last updated 1 year ago