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Aký je minimálny základný kapitál pre založenie spoločnosti s ručením obmedzeným (s.r.o.) na Slovensku?

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Čo je potrebné pre začatie podnikania na Slovensku?

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Za pomocą jakiego mechanizmu w systemie Windows 11 można zmienić częstotliwość dostępu do procesora CPU : 

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Which combination of gates and operations in LSTM ensures that long-term dependencies

are preserved better than in traditional RNNs?

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The distributional hypothesis suggests that words occurring in similar contexts tend to have similar meanings. If a new word "glorp" appears frequently with words like "delicious," "sauce," and "spicy," what can be inferred about "glorp"?

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In vector semantics, the meaning of a word can change based on context. If the word "bark" is represented in two different contexts—one with "tree" and another with "dog"—what does this imply about the vector representation?

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Given an LSTM network, if the forget gate outputs 0.1 and the cell state from the previous

step is 0.9, what portion of the old memory will be retained in the current state?

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In an LSTM, assume the forget gate output Ft = 0.7, previous cell state Ct−1 = 0.9,

input gate output It = 0.5, and candidate cell state Ct = 0.8. What is the new cell state Ct?

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A simple RNN has 3 time steps, and the gradient of the loss with respect to the hidden

state at time step 3 is 0.8. If the recurrent weight matrix has an eigenvalue of 0.5,

what will be the approximate gradient backpropagated to time step 1 (ignoring input

gradients)?
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In a word embedding model, if the vector for "king" is represented as ( V_{king} ) and the vector for "queen" is ( V_{queen} ), which of the following operations would most likely yield a vector close to "woman"?

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