You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

Here's your chance to use TensorFlow with JavaScript. Train a neural network to predict the rise and fall of Bitcoin prices.

Developers working with Google's TensorFlow Lite for Microcontrollers open source neural network inference engine now have the option to leverage SensiML's powerful automated data labeling and ...

There are many different binary classification algorithms. In this article I'll demonstrate how to perform binary classification using a deep neural network with the Keras code library. The best way ...

ORO VALLEY, AZ/ ACCESSWIRE/ February 18, 2020/ Tautachrome, Inc. announces Google' s TensorFlow™ artificial intelligence for image classification in ARknet release 1.3. 4.. Arguably, it takes ...

These two sources are fed into a neural network using TensorFlow. You train the system by driving the vehicle manually through the course a few times and then let it drive itself.