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Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) öğrenmeye başla
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Ponadto, jeśli przyjrzymy się dokładnie temu, co jest zoptymalizowane, pojawia się ta sama wielkość, a mianowicie wartość (oczekiwana nagroda, oczekiwana użyteczność)
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Despite the wealth of empirical data in neuroscience öğrenmeye başla
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Pomimo bogactwa danych empirycznych w neurobiologii
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Although this principle has been portrayed as a unified brain theory öğrenmeye başla
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został przedstawiony jako Chociaż ta zasada została przedstawiona jako zunifikowana teoria mózgu
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This Review attempts to place some key theories within the free-energy framework öğrenmeye başla
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Ten przegląd próbuje umieścić niektóre kluczowe teorie w ramach wolnej energii
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implications are complicated and diverse öğrenmeye başla
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implikacje są skomplikowane i różnorodne
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öğrenmeye başla
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We’re headed toward a situation where AI is vastly smarter than humans öğrenmeye başla
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Dążymy do sytuacji, w której sztuczna inteligencja jest znacznie inteligentniejsza od ludzi
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öğrenmeye başla
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Why you should watch Jennifer Lopez and George Clooney sizzle in ‘Out of Sight’ öğrenmeye başla
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Dlaczego warto oglądać Jennifer Lopez i George'a Clooneya skwierczących w „Poza zasięgiem wzroku”
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öğrenmeye başla
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In this feature, running every other week öğrenmeye başla
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w tym artykule, wyświetlanym co dwa tygodnie
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That was a hot mess, inside a dumpster fire, inside a train wreck öğrenmeye başla
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To był gorący bałagan, wewnątrz pożaru śmietnika, wewnątrz wraku pociągu
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öğrenmeye başla
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some of the things going on under the hood öğrenmeye başla
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I’ll try to shed some light öğrenmeye başla
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Sometimes it does a good job, other times it can’t quite pin down the object öğrenmeye başla
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zmusić / określić / ustalić Czasami wykonuje dobrą robotę, innym razem nie jest w stanie dokładnie określić przedmiotu
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if we want to use the difference between the prediction and price as our error measuring stick öğrenmeye başla
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... jeśli chcemy użyć różnicy między prognozą a ceną jako naszym miernikiem błędu.
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So our current model calculates predictions by plugging in the area of house as x in this formula: öğrenmeye başla
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Tak więc nasz obecny model oblicza prognozy, podając powierzchnię domu jako x w tym wzorze:
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fiddle with the parameters (weight and bias) of the model öğrenmeye başla
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grać na skrzypcach/ bawić się bezmyślnie
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... as the training process is all about reducing this error as much possible öğrenmeye başla
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ponieważ proces szkolenia polega na maksymalnym zmniejszeniu tego błędu
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This is a little trickier This is a little trickier than when we only had to worry about one weight value öğrenmeye başla
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To jest trochę trudniejsze Jest to trochę trudniejsze niż wtedy, gdy musieliśmy martwić się tylko o jedną wartość wagi
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Take a stab at finding the right weights and bias öğrenmeye başla
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Spróbuj znaleźć odpowiednie wagi i odchylenie
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that allow us to visualize the model at a glance öğrenmeye başla
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that will say that it’s 75% sure that a house is “Good” rather than just spit out “good” or “bad”. öğrenmeye başla
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regardless of whether you öğrenmeye başla
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bez względu na to, czy ty / niezależnie od tego, czy ty
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öğrenmeye başla
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Taking the leap becomes the dream of millions öğrenmeye başla
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excuse to guide us to explore some of the basic mathematical ideas involved in prediction with neural networks öğrenmeye başla
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wymówka, aby nas prowadzić
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We won’t bother with most of the columns for now öğrenmeye başla
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Nie będziemy się tym przejmować Na razie nie będziemy zawracać sobie głowy większością kolumn
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we have slightly adjusted we have slightly adjusted the way we represent the networks from the previous post öğrenmeye başla
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How about you take a crack at training our toy neural network? öğrenmeye başla
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Co powiesz na wyszkolenie naszej zabawkowej sieci neuronowej?
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öğrenmeye başla
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Poland abortion ruling sparks öğrenmeye başla
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Orzeczenie o aborcji w Polsce iskrzy
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take a stab at building a new future öğrenmeye başla
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dźgnąć w / zadać sobie trud
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öğrenmeye başla
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öğrenmeye başla
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to delve deeper into machine learning öğrenmeye başla
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öğrenmeye başla
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öğrenmeye başla
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I'm just tuning in to ask öğrenmeye başla
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Po prostu czuwam, żeby zapytać
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you need to take a long run up öğrenmeye başla
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And they've come up with some seriously interesting findings öğrenmeye başla
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I doszli do bardzo interesujących odkryć
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But my particular favorite is that it turns out that öğrenmeye başla
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Ale moim szczególnym faworytem jest to, że okazuje się, że
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öğrenmeye başla
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öğrenmeye başla
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that doesn't mean we are striving to form a union that is perfect öğrenmeye başla
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All of this and much more indicates the tight grip that Arasaka holds on the city öğrenmeye başla
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As a result, a flurry of research sought to understand what kind of linguistic information is captured in neural networks. öğrenmeye başla
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öğrenmeye başla
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I met Jane today and she came up with a perfectly terryfic idea öğrenmeye başla
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is merely your first step finishing this book is merely your first step on it öğrenmeye başla
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to tylko twój pierwszy krok
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Here, we give you a few foolproof tips and tricks öğrenmeye başla
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