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33_1766_1767.mp3
它 們 的 意 思 是 說
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69.040092
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69.031849
33_1768_1771.mp3
當 你 的 模 型 先 學 完 任 務 一 的 時 候
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63.501877
33_1771_1772.mp3
在 任 務 一 上 的 正 確 率
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56.199529
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56.362744
33_1773_1776.mp3
跟 學 到 大 t 個 任 務 完 以 後
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72.463645
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72.498984
33_1776_1778.mp3
在 任 務 一 上 的 正 確 率 差 多 少
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37.120971
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36.365291
33_1778_1780.mp3
當 學 完 任 務 一 的 時 候 記 憶 猶 新
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62.297463
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62.33208
33_1780_1782.mp3
這 個 時 候 正 確 率 是 最 高 的
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68.245261
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68.313279
33_1782_1784.mp3
那 隨 著 學 的 任 務 越 來 越 多
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68.547714
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68.569008
33_1784_1787.mp3
那 你 的 正 確 率 就 會 不 斷 地 遞 減
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66.266507
33_1788_1790.mp3
那 到 底 會 減 少 多 少 呢
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68.655153
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68.914866
33_1790_1792.mp3
所 以 我 們 把 這 兩 個 r 進 行 相 減
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69.684718
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69.875537
33_1792_1795.mp3
可 以 評 估 說 現 在 遺 忘 的 程 度 有 多 嚴 重
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69.801187
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69.938943
33_1796_1799.mp3
那 因 為 呢 機 器 每 次 看 到 新 的 任 務 以 後
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63.75995
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63.804044
33_1799_1800.mp3
舊 的 任 務 就 會 不 斷 遺 忘
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39.451197
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39.329222
33_1800_1801.mp3
所 以 你 可 以 想 見 說
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66.715129
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66.738562
33_1801_1804.mp3
rt 1 通 常 是 比 r1 1 小 的 了
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64.810142
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64.890009
33_1804_1806.mp3
rt 2 通 常 是 比 r2 2 小 的 了
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67.117585
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67.168107
33_1806_1809.mp3
所 以 如 果 你 是 拿 rt 1 減 r1 1
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57.011655
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57.043196
33_1809_1811.mp3
rt 2 減 r2 2 的 話
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67.795967
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67.842516
33_1811_1813.mp3
你 通 常 得 到 的 值 是 負 的
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70.382339
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70.486159
33_1813_1814.mp3
所 以 backward transfer
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70.559063
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70.559063
33_1814_1818.mp3
通 常 算 出 來 的 值 是 負 的 是 小 於 0 的
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64.201836
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64.284808
33_1818_1820.mp3
如 果 你 今 天 可 以 提 出 一 個
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66.189058
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66.157591
33_1820_1821.mp3
life long learning 的 方 法
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68.133412
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68.15505
33_1821_1822.mp3
它 很 厲 害
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68.059232
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68.127865
33_1822_1824.mp3
它 的 backward transfer 算 出 來 是 正 的
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67.218581
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67.223448
33_1824_1825.mp3
那 你 就 很 厲 害 了
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61.211944
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61.089049
33_1825_1828.mp3
因 為 通 常 backward transfer 都 是 負 的
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66.857507
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66.939569
33_1828_1829.mp3
如 果 你 說
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69.275605
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69.324559
33_1829_1830.mp3
機 器 學 了 新 的 任 務 以 後
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68.199363
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68.263583
33_1830_1832.mp3
它 還 可 以 觸 類 旁 通
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70.667542
33_1832_1834.mp3
把 原 來 的 任 務 一 做 得 更 好
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19.967124
33_1834_1836.mp3
它 學 完 新 的 任 務 以 後 觸 類 旁 通
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68.040184
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68.022074
33_1836_1837.mp3
把 原 來 的 任 務 二 做 得 更 好
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64.803642
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65.258727
33_1838_1840.mp3
你 提 出 來 的 life long learning 就 很 厲 害 了
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67.663844
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67.709464
33_1840_1842.mp3
一 般 life long learning 做 不 到 這 件 事
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65.238393
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65.332421
33_1842_1844.mp3
通 常 只 要 這 個 值 不 要 負 得 太 嚴 重
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70.180369
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70.237475
33_1844_1845.mp3
就 已 經 很 厲 害 了
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57.40304
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57.337708
33_1847_1848.mp3
好 那 還 有 一 種 評 估 方 式
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34.250858
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34.210947
33_1848_1851.mp3
叫 做 forward transfer
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56.811947
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56.977784
33_1851_1852.mp3
那 forward transfer
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67.725512
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67.725512
33_1852_1854.mp3
通 常 就 比 較 不 是 life long learning 的 重 點
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64.891211
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64.950475
33_1854_1856.mp3
forward transfer 想 要 問 的 問 題 是 說
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67.561656
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67.634912
33_1856_1860.mp3
今 天 在 看 過 一 系 列 的 任 務
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65.381942
33_1860_1862.mp3
我 這 個 有 點 卡 頓
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50.959998
33_1862_1863.mp3
我 也 不 知 道 為 什 麼
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68.227163
33_1863_1865.mp3
我 的 那 個 滑 鼠 有 點 卡 頓
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68.772994
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68.962223
33_1866_1867.mp3
好 不 過 沒 關 係
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68.000642
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68.000642
33_1867_1868.mp3
我 們 現 在 看 看 同 學 有 沒 有 問 題
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17.917484
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18.166994
33_1868_1869.mp3
好 大 家 沒 有 問 題
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67.184742
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67.243332
33_1869_1870.mp3
好 我 們 繼 續 講
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35.917493
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36.317141
33_1872_1873.mp3
好 今 天 這 個 forward transfer
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44.829571
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44.404709
33_1873_1875.mp3
要 問 的 問 題 是 說 呢
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62.303351
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62.303904
33_1875_1877.mp3
在 還 沒 有 看 過 某 個 任 務
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61.771029
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61.720045
33_1877_1880.mp3
只 看 過 其 他 任 務 的 時 候
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68.393371
33_1880_1882.mp3
機 器 到 底 已 經 學 到 什 麼 樣 的 程 度
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69.524016
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69.727127
33_1883_1885.mp3
所 以 你 在 做 forward transfer 的 時 候
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65.906473
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65.917373
33_1885_1890.mp3
你 就 是 拿 rt 1 t 去 減 r0 t
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70.184504
33_1891_1895.mp3
這 個 rt 1 t 去 減 r0 t
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67.399137
33_1895_1896.mp3
到 底 意 思 呢
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66.404282
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66.464026
33_1896_1897.mp3
它 的 意 思 是 說
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33.748881
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33.713659
33_1897_1899.mp3
今 天 在 還 沒 有 看 到 任 務 大 t 的 時 候
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65.763089
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65.86929
33_1899_1903.mp3
只 看 到 任 務 t1 到 t 1
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70.833489
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70.871538
33_1903_1906.mp3
只 看 到 任 務 t1 到 t 1 的 時 候
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63.753362
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63.783104
33_1906_1910.mp3
你 的 模 型 到 底 可 以 學 出 什 麼 樣 程 度 的 結 果
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67.091182
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67.237708
33_1910_1912.mp3
這 個 是 forward transfer
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69.192148
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69.343379
33_1914_1916.mp3
好 那 接 下 來 就 是 準 備 要 進 入
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68.754388
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68.944271
33_1916_1918.mp3
這 個 life long learning 的 解 法
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