Open buttercutter opened 3 years ago
问题 1: https://www.bilibili.com/video/BV1C64y127Fv 时间: 10:26
θ 不是张量 (看时间:7:00),所以卷积层block 的输出 不等于 θ
那么 卷积层block 的输出 怎么生成 θ 呢 ?
Question 1: https://youtu.be/D9m9-CXw_HY?t=626
θ is not a tensor (check video at t=7:00), so the convolutional block output is not equal to θ
So, how does the convolutional block generate θ ?
问题 2: 在 https://github.com/D-X-Y/AutoDL-Projects/issues/99#issuecomment-835802887 和 GDAS 文献 的式子 (7) 里,如何在两个节点之间的多个平行 的连接线 进行反向传播的运作 ?
Question 2: For https://github.com/D-X-Y/AutoDL-Projects/issues/99#issuecomment-835802887 and equation (7) of GDAS paper , how to do backpropagation across multiple parallel edges between two nodes ?
问题 1: https://www.bilibili.com/video/BV1C64y127Fv 时间: 10:26
θ 不是张量 (看时间:7:00),所以卷积层block 的输出 不等于 θ
那么 卷积层block 的输出 怎么生成 θ 呢 ?
Question 1: https://youtu.be/D9m9-CXw_HY?t=626
θ is not a tensor (check video at t=7:00), so the convolutional block output is not equal to θ
So, how does the convolutional block generate θ ?
问题 2: 在 https://github.com/D-X-Y/AutoDL-Projects/issues/99#issuecomment-835802887 和 GDAS 文献 的式子 (7) 里,如何在两个节点之间的多个平行 的连接线 进行反向传播的运作 ?
Question 2: For https://github.com/D-X-Y/AutoDL-Projects/issues/99#issuecomment-835802887 and equation (7) of GDAS paper , how to do backpropagation across multiple parallel edges between two nodes ?