squeezeNet is a much smaller convolutional network, with vastly less amount of parameters. queezeNet achieves AlexNet-level accuracy on ImageNet with 50x fewer parameters. Additionally, with model compression techniques SqueezeNet can be compress to less than 0.5MB (510x smaller than AlexNet).
Do pip install squeezenet
from squeezenet import squeezenet
input = ...
output = squeezenet.squeeze_net(input, classes=output_classes)
# returns the computed tensor
# specify softmax function, cost and optimizer- Compression
- Performance