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on 19-Dec-2025 (Fri)

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Flashcard 7780129705228

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question

The learning mechanism of the recurrent neural network thus involves:

...

(2) the backpropagation step where the gradient of the parameters with respect to the [...] is calculated; and finally,

...

Answer
loss

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The learning mechanism of the recurrent neural network thus involves: ... (2) the backpropagation step where the gradient of the parameters with respect to the loss is calculated; and finally, ...

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Flashcard 7780132326668

Tags
#recurrent-neural-networks #rnn
Question
non-contractual business settings (i.e., when the time at which a customer becomes [...] is unobserved by the firm)
Answer
inactive

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repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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non-contractual business settings (i.e., when the time at which a customer becomes inactive is unobserved by the firm)

Original toplevel document (pdf)

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Flashcard 7780135472396

Tags
#deep-learning #keras #lstm #python #sequence
Question
Given that LSTMs operate on sequence data, it means that the addition of layers adds levels of abstraction of input observations over time. In effect, chunking observations over time or representing the problem at different [...]
Answer
time scales

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quence data, it means that the addition of layers adds levels of abstraction of input observations over time. In effect, chunking observations over time or representing the problem at different <span>time scales <span>

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