第37讲 多层感知机DNN

37.4导数的反向传播.mp4 21.33 MB mp4

37.3计算图.mp4 36.86 MB mp4

37.2涌现现象与深度网络为何高效.mp4 35.96 MB mp4

37.1浅层网络的问题.mp4 19.10 MB mp4

43.lesson30-Visdom可视化.mp4 52.77 MB mp4

42.lesson29 测试.mp4 53.80 MB mp4

41.lesson28 激活函数与GPU加速【IT会员免费+VX：DS369333】.mp4 39.59 MB mp4

40.lesson27 全连接层.mp4 52.13 MB mp4

39.lesson26 多分类实战.mp4 35.00 MB mp4

38.lesson25 交叉熵.mp4 72.77 MB mp4

37.lesson24 Logistic Regression.mp4 47.84 MB mp4

43.lesson30-Visdom可视化.mp4 52.77 MB mp4

42.lesson29 测试.mp4 53.80 MB mp4

41.lesson28 激活函数与GPU加速【IT会员免费+VX：DS369333】.mp4 39.59 MB mp4

40.lesson27 全连接层.mp4 52.13 MB mp4

39.lesson26 多分类实战.mp4 35.00 MB mp4

38.lesson25 交叉熵.mp4 72.77 MB mp4

37.lesson24 Logistic Regression.mp4 47.84 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp4

2.感知机学习策略.mp4 19.13 MB mp4

1.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4

3.感知机学习算法.mp4 132.92 MB mp42.感知机学习策略.mp4 19.13 MB mp41.感知机模型.mp4 38.82 MB mp4