TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Source: Dev.to

Overview

TensorFlow is a tool that helps people make apps that can learn from data. It runs on tiny phones and on huge servers, so the same idea can be used at home or in a data center without major rework.

Developers and students use it to teach machines to understand speech, pictures, robots, and even help find new medicines. The system is simple to try yet can scale to handle large workloads, making it suitable for both small tests and real projects that must scale.

You don’t need to change your code to move from a phone to a cluster of machines—one of the neat parts of TensorFlow. It moves data through a graph of steps, but you don’t need the details to start building something useful.

TensorFlow bridges lab ideas and real applications, allowing research to reach real‑world tools faster than before, and many teams keep using it day to day.

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems