TensorFlow [SEP] named after
), and from desktops to clusters of servers to mobile and edge devices.
TensorFlow computations are expressed as stateful dataflow graphs. The name TensorFlow derives from the operations that such neural networks perform on multidimensional data arrays, which are referred to as "tensors". During the Google I/O Conference in June 2016, Jeff Dean stated that 1,500 repositories on GitHub mentioned TensorFlow, of which only 5 were from Google.
In Jan 2018, Google announced TensorFlow 2.0. In March 2018, Google announced TensorFlow.js version 1.0
by NumFocus.
PyMC3 has been used to solve inference problems in several scientific domains, including astronomy, molecular biology, crystallography, chemistry, ecology and psychology. Previous versions of PyMC were also used widely, for example in climate science, public health, neuroscience, and parasitology.
After Theano announced plans to discontinue development in 2017, the PyMC3 team decided in 2018 to develop a new version of PyMC named PyMC4, and pivot to TensorFlow Probability as its computational backend. Until the new version is in beta, PyMC3