Edited, memorised or added to reading queue

on 19-May-2025 (Mon)

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

Flashcard 7702324055308

Tags
#ML_in_Action #learning #machine #software-engineering
Question
ML engineering applies a system around this staggering level of complexity. It uses a set of standards, [...], processes, and methodology that aims to minimize the chances of abandoned, misguided, or irrelevant work being done in an effort to solve a business problem or need.
Answer
tools

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
ML engineering applies a system around this staggering level of complexity. It uses a set of standards, tools, processes, and methodology that aims to minimize the chances of abandoned, misguided, or irrelevant work being done in an effort to solve a business problem or need.

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 7702325890316

Tags
#deep-learning #keras #lstm #python #sequence
Question

LSTM Weights

A memory cell has [...] parameters for the input, output, as well as an internal state

Answer
weight

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
LSTM Weights A memory cell has weight parameters for the input, output, as well as an internal state

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 7702327987468

Tags
#RNN #ariadne #behaviour #consumer #deep-learning #patterns #priority #recurrent-neural-networks #retail #simulation #synthetic-data
Question
The RNNs are made of high dimensional hidden states with [...] dynamics.
Answer
non-linear

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 RNNs are made of high dimensional hidden states with non-linear dynamics.

Original toplevel document (pdf)

cannot see any pdfs