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Results 1 - 4 of 4 for extreme (0.18 sec)

  1. fess-crawler/src/test/resources/extractor/eml/sample3.eml

    1111_NEWS003 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【3】"PS3""PSP"the Best シリーズ 2012年12月発売予定タイトル ---------- "PS3""PSP"ベストが登場! お買い求めやすいプライスで、ヒット作をお楽しみください! ▼"PS3" 『バイオハザード リバイバルセレクション』 『真・三國無双5』 『NINJA GAIDEN Σ』 『戦国無双3 Z』 『戦国BASARA3 宴』 『機動戦士ガンダム EXTREME VS.』 http://www.jp.playstation.com/R/m21111_NEWS004 ▼"PSP" 『シャイニング・ハーツ』 『真・三國無双6 Special』 『セブンスドラゴン2020』 『フォトカノ』 http://www.jp.playstation.com/R/m21111_NEWS005 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【4】SCEソフトウェア情報 ---------- ▼"PS3" 『スポーツチャンピオン 2』モード紹介、新要素紹介を更新!...
    Registered: Wed Jun 12 15:17:51 UTC 2024
    - Last Modified: Sat Jan 16 07:50:35 UTC 2016
    - 539.6K bytes
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  2. src/testdata/Isaac.Newton-Opticks.txt

    (red, yellow, green, blue, violet) in order (that is, by the extreme
    red, by the limit of red and yellow in the middle of the orange, by the
    limit of yellow and green, by the limit of green and blue, by the limit
    of blue and violet in the middle of the indigo, and by the extreme
    violet) are to one another very nearly as the sixth lengths of a Chord
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Oct 01 16:16:21 UTC 2018
    - 553.9K bytes
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  3. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

    Note: If the input_min, input_max are specified, they do not need to equal the
    actual minimum and maximum values in the tensor. e.g. in some cases it may be
    beneficial to specify these values such that the low probability extremes of the
    input distribution are clipped.
    
    This op determines the maximum scale_factor that would map the initial
    [input_min, input_max] range to a range that lies within the representable
    quantized range.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
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  4. RELEASE.md

            *   The new backend is used for 8 bits full integer post-training
                quantization
            *   The new backend removes the redundant rescales and fixes some bugs
                (shared weight/bias, extremely small scales, etc)
            *   Set `experimental_new_quantizer` in tf.lite.TFLiteConverter to False
                to disable this change
    *   `tf.keras`
        *   `tf.keras.metrics.AUC` now support logit predictions.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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