epoch
n.
period, era, age; important event
Epoch
Epoch
(n.)
The date at which a planet or comet has a longitude or position.
(n.)
An arbitrary fixed date, for which the elements used in computing the place of a planet, or other heavenly body, at any other date, are given; as, the epoch of Mars; lunar elements for the epoch March 1st, 1860.
(n.)
A period of time, longer or shorter, remarkable for events of great subsequent influence; a memorable period; as, the epoch of maritime discovery, or of the Reformation.
(n.)
A fixed point of time, established in history by the occurrence of some grand or remarkable event; a point of time marked by an event of great subsequent influence; as, the epoch of the creation; the birth of Christ was the epoch which gave rise to the Christian era.
(n.)
A division of time characterized by the prevalence of similar conditions of the earth; commonly a minor division or part of a period.
Webster's Revised Unabridged Dictionary (1913), edited by Noah Porter.
About
epoch
1. [Unix: probably from astronomical timekeeping] The time and date corresponding to 0 in an operating system's clock and timestamp values. Under most Unix versions the epoch is 00:00:00 GMT, January 1, 1970; under VMS, it's 00:00:00 of November 17, 1858 (base date of the US Naval Observatory's ephemerides); on a Macintosh, it's the midnight beginning January 1 1904. System time is measured in seconds or
ticks past the epoch. Weird problems may ensue when the clock wraps around (see
wrap around), which is not necessarily a rare event; on systems counting 10 ticks per second, a signed 32-bit count of ticks is good only for 6.8 years. The 1-tick-per-second clock of Unix is good only until January 18, 2038, assuming at least some software continues to consider it signed and that word lengths don't increase by then. See also
wall time.
2. (Epoch) A version of
GNU Emacs for the
X Window System from
NCSA.
[
Jargon File]
(c) Copyright 1993 by Denis Howe
Epoch in Neural Networks
During iterative training of a
neural network , an Epoch is a single pass through the entire training set, followed by testing of the verification set.
For more information, see the
Neural Networks chapter.