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资料 2022-09-03 10:55:02 | |||
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02-前向传播】..ts | 2022-09-03 10:55:02 | 54.44 MB | |
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03-损失函数选用..ts | 2022-09-03 10:55:02 | 28.82 MB | |
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04-反向传播1.ts | 2022-09-03 10:55:02 | 87.54 MB | |
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05-反向传播2.ts | 2022-09-03 10:55:02 | 63.2 MB | |
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1.ts | 2022-09-03 10:55:02 | 37.42 MB | |
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110.ts | 2022-09-03 10:55:02 | 19.39 MB | |
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144.ts | 2022-09-03 10:55:02 | 22.14 MB | |
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160.ts | 2022-09-03 10:55:02 | 35.26 MB | |
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167.ts | 2022-09-03 10:55:02 | 36.47 MB | |
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169.ts | 2022-09-03 10:55:02 | 12.59 MB | |
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17.ts | 2022-09-03 10:55:02 | 15.77 MB | |
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2.均匀采样、逆变换采样、拒绝采样.ts | 2022-09-03 10:55:02 | 27.73 MB | |
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2.梯度下降简单的数学原理.ts | 2022-09-03 10:55:02 | 30.55 MB | |
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208.ts | 2022-09-03 10:55:02 | 24.94 MB | |
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215.ts | 2022-09-03 10:55:02 | 62.4 MB | |
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230.ts | 2022-09-03 10:55:02 | 7.17 MB | |
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232.ts | 2022-09-03 10:55:02 | 39.2 MB | |
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241.ts | 2022-09-03 10:55:02 | 40.23 MB | |
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242.ts | 2022-09-03 10:55:02 | 55.88 MB | |
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260.ts | 2022-09-03 10:55:02 | 22.98 MB | |
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279.ts | 2022-09-03 10:55:02 | 34.41 MB | |
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3. 随机梯度下降和小批量随机梯度下降.ts | 2022-09-03 10:55:02 | 15.71 MB | |
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3.MCMC采样.ts | 2022-09-03 10:55:02 | 56.54 MB | |
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303.ts | 2022-09-03 10:55:02 | 7.23 MB | |
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309.ts | 2022-09-03 10:55:02 | 15.11 MB | |
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343.ts | 2022-09-03 10:55:02 | 11.81 MB | |
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347.ts | 2022-09-03 10:55:02 | 61.62 MB | |
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378.ts | 2022-09-03 10:55:02 | 23.77 MB | |
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409.ts | 2022-09-03 10:55:02 | 8.83 MB | |
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416.ts | 2022-09-03 10:55:02 | 17.4 MB | |
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455.ts | 2022-09-03 10:55:02 | 59.92 MB | |
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462.ts | 2022-09-03 10:55:02 | 10.16 MB | |
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5.常见的一些改进的优化算法.ts | 2022-09-03 10:55:02 | 40.92 MB | |
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504.ts | 2022-09-03 10:55:02 | 5.49 MB | |
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513.ts | 2022-09-03 10:55:02 | 7.66 MB | |
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583.ts | 2022-09-03 10:55:02 | 9.78 MB | |
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64.ts | 2022-09-03 10:55:02 | 19.57 MB | |
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69.ts | 2022-09-03 10:55:02 | 41.79 MB | |
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695.ts | 2022-09-03 10:55:02 | 18.89 MB | |
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70.ts | 2022-09-03 10:55:02 | 10.34 MB | |
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75.ts | 2022-09-03 10:55:02 | 51.54 MB | |
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crf具体介绍.ts | 2022-09-03 10:55:02 | 113.08 MB | |
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crf的一些基础概念.ts | 2022-09-03 10:55:02 | 90.33 MB | |
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GRU和LSTM.ts | 2022-09-03 10:55:02 | 13.5 MB | |
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GRU＆LSTM.ts | 2022-09-03 10:55:02 | 30.16 MB | |
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HMM.ts | 2022-09-03 10:55:02 | 41.34 MB | |
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hmm的引出和问题的介绍.ts | 2022-09-03 10:55:02 | 41.34 MB | |
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HMM预测问题之维特比算法.ts | 2022-09-03 10:55:02 | 139.48 MB | |
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k-means.ts | 2022-09-03 10:55:02 | 67.13 MB | |
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PCA和LDA.ts | 2022-09-03 10:55:02 | 76.64 MB | |
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RNN.ts | 2022-09-03 10:55:02 | 25.59 MB | |
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【SVM】smo算法.ts | 2022-09-03 10:55:02 | 144.04 MB | |
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【SVM】SVM最优化问题.ts | 2022-09-03 10:55:02 | 44.13 MB | |
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【SVM】几个重要的概念.ts | 2022-09-03 10:55:02 | 24.71 MB | |
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【SVM】核函数.ts | 2022-09-03 10:55:02 | 86.35 MB | |
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【SVM】线性可分SVM.ts | 2022-09-03 10:55:02 | 73.61 MB | |
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决策树.ts | 2022-09-03 10:55:02 | 47.14 MB | |
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动量法.ts | 2022-09-03 10:55:02 | 34.01 MB | |
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吉布斯采样.ts | 2022-09-03 10:55:02 | 23.71 MB | |
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开营仪式——班主任部分.ts | 2022-09-03 10:55:02 | 170.46 MB | |
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开营仪式——老师部分买课程.ts | 2022-09-03 10:55:02 | 378.43 MB | |
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深度学习中的优化问题.ts | 2022-09-03 10:55:02 | 23.02 MB | |
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硬间隔SVM最优化问题的推导.ts | 2022-09-03 10:55:02 | 108.36 MB | |
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绪论.ts | 2022-09-03 10:55:02 | 30.23 MB | |
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逻辑回归.ts | 2022-09-03 10:55:02 | 43.79 MB | |
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采样.ts | 2022-09-03 10:55:02 | 44.91 MB | |