TensorFlow 1.10.0 for Python 3.5 on Manylinux1 x86_64

TensorFlow is an open-source library designed for high-performance numerical computation. Its flexible architecture facilitates easy deployment across various platforms, including CPUs, GPUs, and TPUs, whether on desktops, servers, or mobile devices. Developed by Google's Brain team and released under the Apache 2.0 license in 2015, TensorFlow is known for its flexibility, scalability, and portability. It supports a range of computations, from mobile applications to complex machine learning systems. TensorFlow features a comprehensive ecosystem of libraries, tools, and community resources that advance AI research and enable developers to build and deploy machine learning-driven applications. Central to TensorFlow is the use of data flow graphs, where nodes represent operations on data, and edges denote the flow of data between operations. This model allows efficient parallel computation and effective performance across various hardware platforms. Additionally, TensorFlow supports automatic differentiation, essential for implementing sophisticated machine learning algorithms like deep learning networks.