CondenseNet | CondenseNet : Light weighted CNN for mobile devices | Machine Learning library

CondenseNet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. CondenseNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However CondenseNet build file is not available. You can download it from GitHub.

CondenseNet is a novel, computationally efficient convolutional network architecture. It combines dense connectivity between layers with a mechanism to remove unused connections. The dense connectivity facilitates feature re-use in the network, whereas learned group convolutions remove connections between layers for which this feature re-use is superfluous. At test time, our model can be implemented using standard grouped convolutions —- allowing for efficient computation in practice. Our experiments demonstrate that CondenseNets are much more efficient than other compact convolutional networks such as MobileNets and ShuffleNets. Figure 1: Learned Group Convolution with G=C=3. Figure 2: CondenseNets with Fully Dense Connectivity and Increasing Growth Rate.