Edited, memorised or added to reading queue

on 04-Nov-2025 (Tue)

Do you want BuboFlash to help you learning these things? Click here to log in or create user.

Flashcard 7763503746316

Tags
#deep-learning #keras #lstm #python #sequence
Question
Note that by default, the internal state of the network is reset after each batch, but more explicit control over when the internal state is reset can be achieved by using a so-called stateful LSTM and calling the [...] operation manually
Answer
reset

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
, the internal state of the network is reset after each batch, but more explicit control over when the internal state is reset can be achieved by using a so-called stateful LSTM and calling the <span>reset operation manually <span>

Original toplevel document (pdf)

cannot see any pdfs






Flashcard 7764119784716

Tags
#DAG #causal #edx #has-images #inference
[unknown IMAGE 7767228288268]
Question
Women who did develop cancer are much more likely to be included in the study than women who did not develop cancer. Therefore, our causal graph will include a note for [...]-- C--
Answer
selection

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
Women who did develop cancer are much more likely to be included in the study than women who did not develop cancer. Therefore, our causal graph will include a note for selection-- C--

Original toplevel document (pdf)

cannot see any pdfs






Annotation 7767221210380

#deep-learning #keras #lstm #python #sequence
Each layer processes some part of the task we wish to solve, and passes it on to the next
statusnot read reprioritisations
last reprioritisation on suggested re-reading day
started reading on finished reading on


Parent (intermediate) annotation

Open it
[the success of deep neural networks] is commonly attributed to the hierarchy that is introduced due to the several layers. Each layer processes some part of the task we wish to solve, and passes it on to the next

Original toplevel document (pdf)

cannot see any pdfs