an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
TensorFlow is included with it's own python3.6 distribution. The python binary in the TensorFLow distribution has an alias called: python.tensorflow. Use this aliased python within the BioGrids environment to ensure inclusion of the TensorFlow libraries.
The TensorFlow python distribution also include scikit-learn, Keras, pandas, numpy and biopython.