Simple android app for detection of images using Machine learning and Android studio integration

Example React app for image classification with TensorFlow.js & Mobilenet 1.0

Sometimes, we don't have enough computational power or the resources to build highly deep neural networks. In that case, we can use the already built neural networks; freeze the weights; replace the sigmoid function as per our need and then run the model to classify!

Implementation and research paper of MobileNet

Example JQuery app for image classification with TensorFlow.js & Mobilenet 1.0

Simple Mobilenetv1 implementation using DL4J

face mask detection

This project was created to provide information on how to add and use the pre-trained food classification model through TensorFlow Hub.

MobileNetV1 implemenation via Pytorch. Training with ImageNet1K dataset. Evaluate inference result. Measure inference speed and compare to other models (VGG16, GoogleNet)

label_image for Pharo TensorFlow CAPI binding

ASLSpellingGame, an American Sign Language based gesture alphabet spelling game. This is the final project by Group 1 of the course PACSAR-201005, Introduction to Machine Learning and Neural Networks

This project is a work of fiction written from the perspective of a 2020 researcher traveling back in time to late 2012 to share some 2020 network design, training and implementation of MobileNet V1, references to credit the actual inventors of the various ideas is provided at the end

تطبيق شبكة موبايل-نت MobileNet لتصنيف كلب/قطة

Efficient Mobilenets with Lambda layers.

The tools for translate the pretrained TensorFlow model checkpoint to the torch model

Real-time semantic segmentation in the browser using TensorFlow.js.

Simple CoreML Benchmark

Implementation of MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

OpenVINO如何安裝在Colab並執行mobilenet-V1影像分類及mobilenet-SSD物件偵測範例

transfor learning of Mobilenet by tensorflow,include train , test, frozen graph