FastNet | Official Repository for FastNet , An Efficient | Machine Learning library

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

Official Repository for FastNet, An Efficient Convolutional Neural Network Architecture, highly optimized for Edge Devices and Mobile Applications. Read The Paper for more details. In light of the great need for intelligence at the edge of smart devices including SmartPhones, IoT devices, Smart Cameras and low cost drones, we have developed a new architecture that archieves high accuracy on standard datasets while being incredibly fast on both GPUs and CPUs. Recent Architectures have explored absolute depth, very great width and layer parallelization. We explictly avoid using any of these as they lead to models that can only be used on the cloud and are too slow and too large to be deployed on Smart Devices. We instead, make use of medium depth and medium width throughout the network and we greatly optimized the parameters of the network to archieve highly competetive accuracies at very low computational cost. Our architecture is also very simple and can be replicated by any ML engineer using any Deep Learning library.