Shower Thoughts

Often an epiphany;

Often sudden;

Often marked by the inability to recall later.

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• A Full Derivation of Course ML by Stanford, Wk4, Applications-Examples and Institutions. > Contain full derivations and notations of the neural network in details. > > Apply matplotlib to draw plots if necessary. > > Add feature explanations for the sigmoid cost function. > > {Put AND, NOT and OR all together in the end.
• pinv the pseudo inverse of matrix, mentioned in Octave > Add mathematical proofs if possible.
• Swapping Θ(1) in Q6 of the Quiz of Course ML by Stanford, Wk4 > But the swap of Θ(2) cancels out the change, so the output will remain unchanged.
• Backword Propagation & Forward Propagation in a Nutshell > Include Figures, Plots and Full derivations. > > A Neural-Network Terminology for Minimizing cost function.
• Sidebar: Sigmoid() Funfacs > f'(x) = f(x) (1 - f(x)) > > Add plots and proofs. > > Discuss about NaN Overflow Error.