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I have implemented some gradient descent algorithms for linear regression

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Gradient Descent Optimizers

I have implemented some gradient descent optimizers for linear regression :

  • Vanilla gradient descent
  • Batch gradient Descent (with momentum, nesterov acceleration..)
  • Adagrad
  • RMSPROP
  • Adam ...

TODO :

  • Add level curve plot
  • KSGD
  • More generic implementation (polynomial)
  • Evolution of error on the fly
  • Newton method (logistic regression, but maybe in a new repo)

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I have implemented some gradient descent algorithms for linear regression

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python linear-regression gradient-descent-optimizers

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