MobileNet is a family of convolutional neural network (CNN) architectures designed for image classification, object detection, and other computer vision tasks.

Apr 17, 2017 · MobileNets are based on a streamlined architecture that uses depth-wise separable convolutions to build light weight deep neural networks. We introduce two simple global hyper …

Jul 23, 2025 · The MobileNet V2 architecture is designed to provide high performance while maintaining efficiency for mobile and embedded applications. Below, we break down the architecture in detail, …

MobileNetV2 is very similar to the original MobileNet, except that it uses inverted residual blocks with bottlenecking features. It has a drastically lower parameter count than the original MobileNet.

MobileNet v2 uses lightweight depthwise convolutions to filter features in the intermediate expansion layer. Additionally, non-linearities in the narrow layers were removed in order to maintain …

Oct 15, 2024 · What is MobileNet? MobileNet is a family of neural networks designed for efficient inference on mobile and embedded devices.

Apr 3, 2018 · Last year we introduced MobileNetV1, a family of general purpose computer vision neural networks designed with mobile devices in mind to support classification, detection and more.

Jan 13, 2018 · MobileNet V2 improves performance on mobile devices with a more efficient architecture. It uses inverted residual blocks and linear bottlenecks to start with a smaller representation of the …

Apr 18, 2025 · MobileNet is TensorFlow’s first mobile computer vision model. It is a class of convolutional neural network (CNN) that was open-sourced by Google, and therefore, provides an …

A tensorflow implementation of Google's MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. The official implementation is avaliable at tensorflow/model. The official …