Here are the best open-source and free-to-use AI models for text, images, and audio, organized by type, application, and licensing considerations.

Discover how to build an automated intent classification model by leveraging pre-training data using a BERT encoder, BigQuery, and Google Data Studio.

Model Maker, which currently only supports image and text classification use cases, works with many of the models in TensorFlow Hub, Google’s library for reusable machine learning modules.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

A recent [TensorFlow] video shows an interview between [Jason Mayes] and [Paul Van Eck] about using TensorFlow.js with Node-RED to create machine learning applications for Raspberry Pi visually.

Developers around the world could submit trained models to Model Play. The models should be TensorFlow/TensorFlow Lite models and can be run in smartphone or on Google Coral Dev Board or both.

TensorFlow Model Optimization introduced full post-training integer quantization last summer, but quantization-aware training was only available as an unofficial "contrib" package.

Google today is announcing the release of version 0.8 of its TensorFlow open-source machine learning software. The release is significant because it supports the ability to train machine learning ...