Google's deep learning architecture is indeed quite interesting. Neither MLlib nor MLI currently includes all of the components of this architecture, but we intend to extend MLI in the upcoming months to contain similar functionality.
On Fri, Aug 16, 2013 at 9:51 PM, Lijie Xu <[email protected]> wrote: > Thanks for your quick reply. I like the new features. There is another > related question about distributed ML. > How do you think about the architecutre of Google's deep learning ( > http://www.cs.toronto.edu/~ranzato/publications/DistBeliefNIPS2012_withAppendix.pdf)? > It contains parameter server, model replicas and data shards. Does MLBase > have similar components? > > > On Sat, Aug 17, 2013 at 10:37 AM, Gowtham N <[email protected]>wrote: > >> Is anyone working on neural networks, ADM, Collaborative Filtering etc? >> >> >
