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0_34_37.mp3
就 是 我 們 腦 神 經 中 這 個
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13.412015
0_46_48.mp3
這 個 方 法 想 要 做 的 事 情 就 是
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46.483689
0_151_153.mp3
就 代 表 loss 越 大
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38.382968
0_162_164.mp3
代 表 loss 越 大
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8.572418
0_173_176.mp3
好 那 我 們 現 在 先 讓 模 型 訓 練 任 務 一
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30.211134
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28.166124
0_239_240.mp3
那 在 任 務 二 上
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44.083274
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48.658228
0_244_246.mp3
根 據 這 個 任 務 二 的 error surface
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44.705826
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42.592011
0_253_255.mp3
那 得 到 θ*
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14.091156
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13.95877
0_275_277.mp3
所 以 是 在 一 個 這 個 loss 比 較 低 的 位 置
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24.917322
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23.389144
0_346_347.mp3
好 那 怎 麼 做 呢
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40.660888
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41.403
0_347_349.mp3
所 以 這 邊 的 基 本 的 想 法 是 說
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42.647355
0_360_363.mp3
我 們 就 希 望 在 學 新 的 參 數 的 時 候
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38.444248
0_392_393.mp3
這 樣 的 做 法 裡 面
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44.616918
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45.800221
0_631_634.mp3
那 我 們 就 把 bi 給 它 設 一 個 非 常 大 的 值
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0_693_696.mp3
現 在 希 望 現 在 有 好 很 多
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13.979773
0_720_723.mp3
我 們 怎 麼 設 定 這 個 bi
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37.961618
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36.475059
0_726_728.mp3
你 可 以 想 見 說 在 這 個 任 務 裡 面
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12.950552
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11.935437
0_738_739.mp3
直 接 bi 等 於 0
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33.916294
0_910_911.mp3
所 以 你 在 任 務 二 上
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39.159879
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39.159879
0_911_913.mp3
假 設 只 有 在 這 個 方 向 上 移 動
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41.038702
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41.124564
0_952_954.mp3
這 個 橫 軸 是 什 麼
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48.082341
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49.073853
0_968_971.mp3
這 三 個 任 務 依 序 訓 練 的 結 果
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14.201739
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14.48973
0_1004_1006.mp3
藍 色 這 一 條 線 就 是 我 們 完 全 不 管
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30.66859
0_1022_1024.mp3
接 下 來 開 始 學 任 務 b 了
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43.189096
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43.063442
0_1046_1048.mp3
catastrophic forgetting 的 效 果
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42.403639
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37.770263
0_1172_1174.mp3
結 果 還 要 更 好 的
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40.869608
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39.622999
0_1208_1210.mp3
就 列 了 一 大 堆 方 法
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48.617617
0_1269_1270.mp3
每 一 個 方 法 都 不 一 樣
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33.194583
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33.344979

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