TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
When planning a programme it is important to consider how staff and students experience the delivery of that programme and its assessment. Core to this process are the dates when assessments are set and subsequently handed in – students do not want to have a bunching of coursework and staff need to manage their workload! The Programme Mapper does both. It will graphically display all the hand-in dates for each course within a programme and display, in real time, the effect of any changes you make.