Open sourced by Google Based on a dataflow graph
Text summarization with TensorFlow
Open-source library for numerical computation and large-scale Machine Learning, focusing on static dataflow graphs.
Get same code use of tensorflow example:
Basic example is
Handwritten Digit Classification
Tensorflow
Focus: TensorFlow is a comprehensive open-source platform for machine learning. It provides a flexible and comprehensive ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications.
Integration: TensorFlow can implement a wide range of machine learning algorithms, including those available in Sci-kit Learn, making it versatile for various applications.
Modularity: Its modular architecture allows users to deploy computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
Parallelization: TensorFlow is optimized for high-performance numerical computation, making it suitable for large-scale machine learning tasks that require parallel processing.
Use Cases: TensorFlow is widely used in both academic research and industry for tasks such as image and speech recognition, natural language processing, and more.