1.3.2
- More TensorBoard support, including default summaries. See the tutorial (#598, #654, #653).
- A batch training tutorial is added.
- Improved training of Wasserstein GANs via penalty (#626).
- Fixed error in sampling for
DirichletProcess(#652). - Miscellaneous bug fixes, documentation, and speed ups.
Acknowledgements
- Thanks go to Janek Berger (@janekberger), Ian Dewancker (@iandewancker) Patrick Foley (@patrickeganfoley), Nitish Joshi (@nitishjoshi25), Akshay Khatri (@akshaykhatri639), Sean Kruzel (@closedLoop), Fritz Obermeyer (@fritzo), Lyndon Ollar (@lbollar), Olivier Verdier (@olivierverdier), @KonstantinLukaschenko, @meta-inf.
We are also grateful to all who filed issues or helped resolve them, asked and answered questions, and were part of inspiring discussions.