Technology
TensorFlow is an end-to-end open-source platform for modelling, training, and deploying deep neural networks. TensorFlow and its ecosystem of tools and libraries allow engineers to build, deploy, and scale various machine learning-based applications like computer vision, object detection and classification, language modelling, and voice.
Extensively vetted
Some of the world's largest companies and organizations, including NVIDIA, Lenovo, Uber, and Google, use TensorFlow as a machine learning solution. TensorFlow also has a thriving community of universities and research labs that contribute to its ecosystem.
Streamlined integrations
Tools and libraries like TensorBoard, along with high-level APIs like Keras, allow machine learning practitioners to build, debug, and iterate their models efficiently. It also has an easy-to-use Python API that abstracts the underlying high-performance numerical code implemented in C++ and runs seamlessly on CPUs, GPUs, and Google TPUs. TensorFlow also provides a JavaScript library, TensorFlow.js, that runs on a browser and Node.js.
Optimized for Deep Learning
TensorFlow is an efficient tool for implementing deep learning models that process large amounts of data. Its features include multi-GPU support and checkpoints for training, evaluating, and reloading models.
