Closed Johnson-yue closed 5 years ago
Do a model.summary() to print the architecture.
ups sorry wrong language
@DanielTea Sorry,It is my fault. In the original paper: Densely Connected Convolutional Networks, it provided ImageNet architecture that shown in Table 1。 But It is not provide CIFAR model,for example, how many DenseNet-B block? I only know, total layers is 100 or 250 or 190
@Johnson-yue For cifar10, there are 3 dense blocks. There will be 1 conv2d layer initially which is a 3x3 conv, stride 1, and 3 transition layers (4 other layers)
So for depth = 40, we take 40-4 (other layers) = 36, then we take 36/3 = 12,
So there are 12 layers in each dense block. If bottlenecks are used, then there will be 6 layers and 6 bottlenecks in each dense block.
Hope this helps!
@Johnson-yue For cifar10, there are 3 dense blocks. There will be 1 conv2d layer initially which is a 3x3 conv, stride 1, and 3 transition layers (4 other layers)
So for depth = 40, we take 40-4 (other layers) = 36, then we take 36/3 = 12,
So there are 12 layers in each dense block. If bottlenecks are used, then there will be 6 layers and 6 bottlenecks in each dense block.
Hope this helps!
Can you post out your training curve of densenet-40-12 on cifar10? On my computer the acc is bad except for very deep densenet.
@yuffon Sorry, It is long time before,so I don't have any information about this.
I will implement DenseNet on CIFAR but, I don·t know how many dense block 。