Revision history of "How to measure performance of your NN models using TensorFlow Lite runtime"

Diff selection: Mark the radio boxes of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

  • (cur | prev) 13:14, 3 July 2023 m . . (21,987 bytes) (+1) . . (→ Executing with the command line)

    [Reviewed: 13:16, 3 July 2023 | Registered User | [Expert: Approved, Technical writer: Approved, Maintainer: Approved]]

  • (cur | prev) 13:21, 16 December 2022 m . . (22,031 bytes) (+1,142)

    [Reviewed: 12:08, 22 December 2022 | Registered User | [Expert: Approved, Technical writer: Approved, Maintainer: Approved]]

  • (cur | prev) 13:27, 17 June 2022 m . . (20,889 bytes) (-64)

    [Reviewed: 07:01, 1 July 2022 | Registered User | [Expert: Approved, Technical writer: Approved, Maintainer: Approved]]

  • (cur | prev) 10:35, 14 January 2022 m . . (18,903 bytes) (+115)

    [Reviewed: 10:36, 14 January 2022 | Registered User | [Expert: Approved, Technical writer: Approved, Maintainer: Approved]]

  • (cur | prev) 09:47, 14 January 2022 . . (18,788 bytes) (+18,788) . . (Created page with "This article describes how to measure the performance of a TensorFlow Lite neural network model on STM32MP1x plateform. == Installation == ===Installing from the OpenSTLinux...")

    [Reviewed: 10:32, 14 January 2022 | Registered User | [Expert: Approved, Technical writer: Approved, Maintainer: Approved]]