Edited, memorised or added to reading queue

on 23-Oct-2025 (Thu)

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

Flashcard 7765053279500

Tags
#deep-learning #keras #lstm #python #sequence
Question
For example, red is 1, green is 2, and blue is 3. This is called label encoding or an integer encoding and is easily [...]
Answer
reversible

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
For example, red is 1, green is 2, and blue is 3. This is called label encoding or an integer encoding and is easily reversible

Original toplevel document (pdf)

cannot see any pdfs






Flashcard 7765055114508

Tags
#feature-engineering #has-images #lstm #recurrent-neural-networks #rnn
[unknown IMAGE 7103902780684]
Question
“[...]” graphical representation of a recurrent neural network (C) where we use sequence data (x 1 ,x 2 ,x 3 ) to make sequence predictions (y 1 ,y 2 ,y 3 ) while preserving information through the hidden states h 1 ,h 2 ,h 3
Answer
unrolled

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
“unrolled” graphical representation of a recurrent neural network (C) where we use sequence data (x 1 ,x 2 ,x 3 ) to make sequence predictions (y 1 ,y 2 ,y 3 ) while preserving information throug

Original toplevel document (pdf)

cannot see any pdfs