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Stochastic-Gradient-Algorithm

Goal:

  1. Use the python math library including the numpy to solve the optimization by stochastic gradient, draw a curve with matplotlib.
  2. The trial-and-error strategy is useful for the searching of the suitable learning rate.

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Use the python math library including the numpy and the scipy to solve the optimization by stochastic gradient, draw a curve with matplotlib

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