by TheBabeWithThePower September 18, 2009
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Just a really skanky sperm dump. Looks for rich looking drunks for one night stands, just so they have shelter. Hint:They usually don't wear panties and smell like an organic solvent.
by Running out of patience October 17, 2008
Get the street squish mug.A squish is a platonic crush, one where you like someone and want to be close to them, but not in a romantic way.
by GeorgeWGeezil January 23, 2010
Get the squish mug.by Truthteller85 June 29, 2016
Get the squished up mug.The Sigmoid function is a mathematical function having a characteristic "S"-shaped curve or sigmoid curve.
When the sigmoid function is used in AI Neural networks to calculate bias within the layers of a Neural network this function is repeated and calculated for each neuron. The function must be simplified (or squished) to result in a usable function that can be used to program an AI software program.
In order to simplify the use of these functions, sigmoid function weights and activations are organized into columns into vectors resulting in a matrix vector product which will be the bias vector, as a final step the sigmoid is wrapped around the vector function. The results of these vectors can be symbolically represented in a simplified function, which then can be used to communicate the full transition of activations from one layer of the neural network to the next in a Squishified Sigmoid function.
When the sigmoid function is used in AI Neural networks to calculate bias within the layers of a Neural network this function is repeated and calculated for each neuron. The function must be simplified (or squished) to result in a usable function that can be used to program an AI software program.
In order to simplify the use of these functions, sigmoid function weights and activations are organized into columns into vectors resulting in a matrix vector product which will be the bias vector, as a final step the sigmoid is wrapped around the vector function. The results of these vectors can be symbolically represented in a simplified function, which then can be used to communicate the full transition of activations from one layer of the neural network to the next in a Squishified Sigmoid function.
by Archii May 7, 2019
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by Victoria 2 player February 23, 2022
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