SqueezeNet
SqueezeNet copied to clipboard
forresti
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
Hello, thank you very much for your work. I would like to point out a small bug I found to you, there is a little problem with the first layer...
can squeezenet be used for speech emotion recognition if we feed 3D log mel spectrum values?
ist it possible to make squeezenet v1_1 for facedetector , possible , feasable ? getting the face location?? if its doable, can you put a facetector model here please ??...
Hi, I've trained a new model based on SqueezeNet V1.1, and it achieved 61% top-1 accuracy on ImageNet without sacrificing parameter numbers and efficiency. I've uploaded my model to this...
In alexnet network, it uses lr_mult/decay_mult param {1, 1, 2, 0}, In squeezenet, it doesn't set param, so caffe uses its default value, lr_mult and decay_mult is default set to...
Model exported from Keras and made compatible for importation in Matlab (.h5 and .json files with compatible layer-names).
Hi, is there any plan to, or is it possible to provide the model for SqueezeNet **v1.1** with **Residual Connections** trained via Dense→Sparse→Dense (**DSD**) Training?
