$3$

four task is to train a classifier such that, given the tuple $("$bank$"$ "located"$)$ where "bank" is the target word and located" is the cand context word, the classifier returns the probability that "located is a real context word for "bank":

Provide the updated Input weight matrix for the Target Wordlaften one iteration of the Word$2$Vec algorithm

$3.$

Support your answer with detailed steps and rationale on the logic and computation:

The following additional information are provided:

Use Word$2$Vec with Skip Gram Classifier with a Single Hiddenluayer

Negative Sampling words have been specified for you andithey $($are Purple "Rain $-$

The One Hot Encoded Input Vectors are:

$\backslash$table$[[$Bank$,\left[\begin{array}{ccccc}1& 0& 0& 0& 0\end{array}\right]$