Table 2 LeNet network architecture [1]
From: Effective hyperparameter optimization using Nelder-Mead method in deep learning
Conv 1 | Kernel size: 2, stride: 1, pad: 0 |
Pool 1 (MAX pooling) | Kernel size: 2, stride: 2, pad: 2 |
Conv 2 | Kernel size: 5, stride: 1, pad: 0 |
Pool 2 (MAX pooling) | Kernel size: 2, stride: 2, pad: 0 |
FC 1 | Â |