Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya Mitandao ya Kawaida ya pande mbili

Majaribio ya kupita mbele na nyuma, hali zilizounganishwa za muktadha, majukumu ya mfuatano wa nje ya mtandao, vikomo vya utiririshaji na mahitaji ya ingizo kamili.

Njia za mwongozo zinazohusianaMitandao ya Kawaida ya Mielekeo miwili
Swali 1 ya 8

What does a bidirectional RNN do with an input sequence?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. What does a bidirectional RNN do with an input sequence?
    • Processes only the first half forward
    • Processes it in forward and backward directions and combines the contextual states
    • Uses future tokens as training labels
    • Runs the same hidden state twice in the same direction
  2. Why can context from both directions help label a word such as “bank”?
    • Words before and after it can clarify the intended meaning
    • The word has only one possible meaning
    • The model needs no surrounding text
    • The label is stored in the sequence position
  3. How are the two directional hidden states commonly combined at a position?
    • Average all positions in the sequence first
    • Discard the backward state
    • Use only the final forward state for every position
    • Concatenate them or otherwise combine them for the output
  4. Why can a bidirectional RNN be unsuitable for streaming generation?
    • It cannot process tokens in order
    • It requires class labels at inference
    • It needs future sequence context that is not yet available
    • Inafanya kazi tu na picha
  5. What is one advantage of offline sequence labeling with bidirectionality?
    • Each position can use context on both sides
    • The model needs no sequence boundaries
    • It removes the need for recurrent parameters
    • It guarantees correct token labels
  6. Do forward and backward passes share the same recurrent parameters in the guide’s described architecture?
    • Yes, by definition every bidirectional RNN shares weights
    • No; it uses separate recurrent layers for the two directions
    • Only when the sequence has even length
    • They have no parameters
  7. Which task is a natural fit when the entire sequence is available?
    • Left-to-right text generation before later tokens exist
    • Live word prediction with zero lookahead
    • Part-of-speech tagging or named-entity recognition
    • Predicting the next unseen sensor reading in a stream
  8. What does bidirectional context not guarantee?
    • Access to following input tokens in offline use
    • A combined representation at each position
    • Two traversal directions
    • That the model will correctly interpret every token