TensorFlow 2.3.0 Wheel File for Python 3.7 and Linux x86-64

TensorFlow is an open-source software library for high-performance numerical computation. Its flexible architecture allows users to deploy computation across various platforms, including CPUs, GPUs, and TPUs, on desktops, servers, and mobile devices. Developed by the Google Brain team and released under the Apache 2.0 open-source 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. The core of TensorFlow is based on data flow graphs where nodes represent operations on data, and edges represent data flow between operations. This representation enables efficient parallel computing and cross-platform performance. TensorFlow also supports automatic differentiation, essential for implementing complex machine learning algorithms like deep learning networks.