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screwlisp
screwlisp
@screwlisp@gamerplus.org  ·  activity timestamp 6 days ago

Yeesh, okay it is out and I can stop telling you I am going to write it.

https://screwlisp.small-web.org/complex/lisp-feedforward-deep-learning-example/

#deepLearning #symbolic #ffnn pure ansi #commonLisp

The example deliberately causes a hallucination programmed into the training data via simple #roc reasoning. To my knowledge the ROC interpretation of ffnn inference is original to me, here.

The hallucination is in both lockstep and single #neuralnet activations.

Be the first to complain my #DL works on subregions of jagged lists! #programming

Χᵩᵢ = TPᵩⱼ + TNᵩⱼ − FPᵩⱼ − FNᵩⱼ, 𝑗≠𝑖

of the 𝑖th neuron at timestep 𝑛. Next

Yᵩᵢ = P( Χᵩᵢ + ξᵩᵢ ) − P( Χᵩᵢ − ξᵩᵢ ), using P for the
Χᵩᵢ = TPᵩⱼ + TNᵩⱼ − FPᵩⱼ − FNᵩⱼ, 𝑗≠𝑖 of the 𝑖th neuron at timestep 𝑛. Next Yᵩᵢ = P( Χᵩᵢ + ξᵩᵢ ) − P( Χᵩᵢ − ξᵩᵢ ), using P for the
Χᵩᵢ = TPᵩⱼ + TNᵩⱼ − FPᵩⱼ − FNᵩⱼ, 𝑗≠𝑖 of the 𝑖th neuron at timestep 𝑛. Next Yᵩᵢ = P( Χᵩᵢ + ξᵩᵢ ) − P( Χᵩᵢ − ξᵩᵢ ), using P for the

Pure ansi common lisp ffnn deep learning examination

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screwlisp
screwlisp
@screwlisp@gamerplus.org  ·  activity timestamp 6 days ago

Well, after a week of throwing spaghetti (silk surely) at a wall. @svw/ . Allowing that I don't have / didn't use something sane like amsmath for equations, can you think of any changes or comments or questions or particular clarifications?

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