Generic and easy-to-use serving service for machine learning models
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Updated
Jan 3, 2021 - JavaScript
Generic and easy-to-use serving service for machine learning models
A tutorial of building tensorflow serving service from scratch
Merging Models for TensorFlow Serving HOT UPDATING
Example how to deploy your TensorFlow model in production using the Tensorflow-serving
Our Little Tools
Lightweight tool that generates Go structures and Tensorflow inference execution code from SavedModel
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
Fire Detection TFOD 2.0
Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting
text classification, text to emotions notebook 🎨
Angular webapp to demo minst-cnn inference
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