Google has announced the release of TensorFlow Serving, a flexible, high-performance and open-source serving system for machine-learning models. The solution was designed for production ...

Basic Concepts in TensorFlow At TensorFlow's core are tensors - multi-dimensional arrays with a uniform type. Tensors flow between operations, hence the name TensorFlow. TensorFlow works by building a ...

Google brings 45 teraflops tensor flow processors to its compute cloud Up to 256 chips can be joined together for 11.5 petaflops of machine-learning power.

Flows: This is the other critical aspect of TensorFlow. As we know, TensorFlow accepts input in the form of tensors. This input passes through a series of steps.

TensorFlow Quantum (TFQ) brings Google quantum computing framework Cirq and TensorFlow together to enable the creation of quantum machine learning (ML) models.