A practical guide on using TensorFlow.js models in offline applications | by Andreas Schallwig | Level Up Coding
A guide to ML model serving | Ubuntu
Lecture 11: Deployment & Monitoring - Full Stack Deep Learning
Archived | Create a progressive web application for offline image classification - IBM Developer
Maximize TensorFlow performance on Amazon SageMaker endpoints for real-time inference | AWS Machine Learning Blog
Introducing TensorFlow.js: Machine Learning in Javascript — The TensorFlow Blog
3.5: Using a simple raw TensorFlow.js pre-trained saved model in the browser - YouTube
Powering Client-Side Machine Learning With TensorFlow Lite | Mercari Engineering
Progressive Web App for Offline Image Classification with TensorFlow.js - YouTube
Deploy a neural network in TensorFlow : offline and online inference | by Elim Tech | Medium
A practical guide on using TensorFlow.js models in offline applications | by Andreas Schallwig | Level Up Coding
Use a TensorFlow model exported from Azure Custom Vision
Lecture 11: Deployment & Monitoring - Full Stack Deep Learning
AppStudio and TensorFlow Lite: Machine Learning on... - Esri Community
A Beginner's Introduction To TensorFlow Lite | by Richmond Alake | Towards Data Science
LIY#3 install Tensorflow in python offline and online mode - YouTube
A practical guide on using TensorFlow.js models in offline applications | by Andreas Schallwig | Level Up Coding
A practical guide on using TensorFlow.js models in offline applications | by Andreas Schallwig | Level Up Coding
Deploy a neural network in TensorFlow : offline and online inference | by Elim Tech | Medium
How-to deploy TensorFlow 2 Models on Cloud AI Platform — The TensorFlow Blog
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps
Train and Deploy TensorFlow Models Optimized for Google Edge TPU - The New Stack
GitHub - mozilla/DeepSpeech: DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Three Levels of ML Software
how to generate tensorflow inception-v1 model using ML.NET? · Issue #4842 · dotnet/machinelearning · GitHub
