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  1. Get ready for Season Six of Adam-12, one of the most popular police dramas of all time. Follow the careers and lives of two Los Angeles police officers, veteran Patrol Officer Pete Malloy (Martin Milner) and rookie Jim Reed (Kent McCord). Officers Pete Malloy and Jim Reed cover the waterfront. The team learns that crime has no respect for age ...

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  3. Adam-12 Is a 1968 American police drama series that ran until 1975. It follows Pete Malloy (Martin Milner) and Jim Reed (Kent McCord), Two Police Officers working in the Los Angeles Police Department (LAPD) and together they go on different kinds of call outs on the streets of Los Angeles in their patrol unit, 1-Adam-12. The series was created by Robert A. Cinader and Jack Webb, the latter of ...

  4. Get ready for Season Seven of Adam-12, one of the most popular police dramas of all time. Follow the careers and lives of two Los Angeles police officers, veteran Patrol Officer Pete Malloy (Martin Milner) and rookie Jim Reed (Kent McCord). This season the officers are assigned to find a man who has threatened to end his life, play a dangerous cat-and-mouse game, and apprehend a likable and appare

  5. Veteran cop Pete Malloy and his partner, rookie Jim Reed, rove the streets of Los Angeles in their LAPD patrol unit, 1-Adam-12. A spinoff of 'Dragnet,' 'Adam-12' portrays the officers' daily beat with gritty realism, from the tragic and brutal to the trivial and comic. During the show's seven-year run, viewers witness Reed blossom from probationer to full-fledged officer and Malloy earn the ...

  6. Adam-12 featured the year-old LAPD Rampart Division station at 2710 West Temple Street as the setting for the series. However, according to the radio call sign of the unit "1-Adam-12", the patrol area was within the Central Division (Division One), which serves Downtown Los Angeles, rather than Rampart (Division Two).

  7. For further details regarding the algorithm we refer to Adam: A Method for Stochastic Optimization. Parameters. params ( iterable) – iterable of parameters to optimize or dicts defining parameter groups. lr ( float, Tensor, optional) – learning rate (default: 1e-3). A tensor LR is not yet supported for all our implementations.

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