On 01 Jun 2016, at 00:45, Gian-Carlo Pascutto <g...@sjeng.org> wrote:
> On 31-05-16 22:56, David Ongaro wrote: >> Isn't e.g. TensorFlow Apache 2.0 license and would allow its >> inclusion in commercial products? > > TensorFlow relies on CuDNN for good GPU performance. Almost all > libraries do, because CuDNN is hand optimized by NVIDIA, and hence > rather hard to beat. Ok, the CuDNN license might not be as convenient as the Apache 2.0 license, but to quote from https://devblogs.nvidia.com/parallelforall/accelerate-machine-learning-cudnn-deep-neural-network-library/: > Note that the cuDNN license allows you to install and use as many copies of > the software as you need, for both individual and corporate use. This > intentionally permissive license is designed to allow cuDNN to be useful in > conjunction with open-source frameworks. So it seems nvidia got out of his way to make cuDNN useable for commercial purposes without imposing extra license costs. >> I might overestimating it, but on the other hand I guess a Professor >> like Rémi has much more obligations other then writing Go Software. >> So anything which could save time helps. > > I don't really want to answer in Remi's place, but I think he's working > fulltime on Go now. His page states: > > "In the *past*, I was Associate Professor of Computer Science..." I see, it must be great to be able to just focus on Computer Go these days… But I still would argue that Rémi probably shouldn't waste his time in reinventing the wheel. David O. _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
