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question		réponse
accomplish We describe how to accomplish these goals by specifying a model that represents certain beliefs commencer à apprendre		osiągać
throughout Linear algebra is a branch of mathematics that is widely used throughout science and engineering. commencer à apprendre		poprzez
prerequisites the key linear algebra prerequisites commencer à apprendre		warunki wstępne
slope the slope of the line commencer à apprendre		stok / nachylenie nachylenie linii
can be thought of scalar can be thought of as a matrix with only a single entry commencer à apprendre		można pomyśleć
to yield We allow the addition of matrix and a vector, yielding another matrix commencer à apprendre		wydawać, dawać
commutative Matrix multiplication is not commutative commencer à apprendre		przemienny
undesirable commencer à apprendre		niepożądany
we can derive commencer à apprendre		możemy wprowadzić
to staring Sunset came; I stared at the México sky. Isn’t nature splendid commencer à apprendre		gapić się
exclusive to It’s not exclusive to machine learning commencer à apprendre		wyłącznie dla
consecutive Where tokens are groups of N consecutive words commencer à apprendre		kolejny
discarding and those that treat input words as a set, discarding their original order commencer à apprendre		odrzucanie
discrepancy you would face the risk of introducing small preprocessing discrepancies that would hurt the model’s accuracy. commencer à apprendre		rozbieżność
reshuffling Even within a given language, you can typically say the same thing in different ways by reshuffling the words a bit commencer à apprendre		przetasowania
is an interesting one The problem of order in natural language is an interesting one: commencer à apprendre		jest ciekawa
Even further Even further, if you fully randomize the words in a short sentence commencer à apprendre		Nawet dalej / co więcej
pivotal How to represent word order is the pivotal question commencer à apprendre		kluczowy
from which spring from which different kinds of NLP architectures spring. commencer à apprendre		z którego źródła?
how/when to leverage which Let’s see how they work, and when to leverage which. commencer à apprendre		jak/kiedy wykorzystać które?
without leveraging Meanwhile, the best score that can be achieved on this dataset without leveraging external data is around 95% test accuracy. commencer à apprendre		bez wykorzystywania
How could we address this? commencer à apprendre		Jak moglibyśmy się tym zająć?
sparse, sparsity commencer à apprendre		rzadki, rzadkość

Deep Learning 01

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