目录
Feature maps
- 单通道
- rgb三通道
- rgb三通道合成
- 数字2的卷积成像图
Why not Linear
- 4 Layers: [784, 256, 256, 256, 10]
335k or 1.3MB
em...
-
486 PC + AT&T DSP32C
- 256KB
- 66Mhz
-
Batch X
-
Gradient Cache
-
etc.
Receptive Field
Fully connnected
Partial connected
Locally connected
Rethink Linear layer
Fully VS Lovally
Weight sharing
- 三阶张量的卷积
-
6 Layers
- ~60k parameters
-
4 layers, 335k
Why call Convolution?
2D Convolution
[y(t) = x(t)*h(t) = int_{-infty}^{infty}x( au)h(t- au)d au
]
Convolution in Computer Vision
- 模糊化
- 边缘检测