TMLS is focused on developing machine intelligence in Japan and specifically focused on deep learning developments and challenges.
Three core factors have enabled recent advances in deep learning providing for its ‘unusual efficiency’. These factors are:
the explosion in large data sets along with the knowledge that supervised learning this data could achieve test set generalization
high performance computation architectures, build on GPU grid architectures and especially CUDA and Nvidia technologies have allowed for faster, cheaper learning with these very large data sets
and the development of new powerful algorithms such as rectified linear hidden units or new regularisation techniques (Dropout), but also new topologies provide the framework to learn efficiently
TMLS will look at applications into numerous spaces and we are particularly interested in visual and speech recognition, reinforcement learning (RL + DL = AI?), natural language processing, medical and health applications and financial engineering.
We will take a look at all the leading technologies from Spark and H20 (CPU learning) to Distributed learning systems like Neon, Torch and Caffe.
TMLS is sponsored by Reactive Inc. (Tokyo).
Please contact us if you would like to speak or sponsor an event.
Finished Events View all events (4)
Ended 2016/07/29（Fri） 19:00〜
TMLS#4 Review of the state of the art
Up to 120
Ended 2016/05/27（Fri） 19:00〜
TMLS #3 Applying Deep Learning
Up to 100
Ended 2016/03/25（Fri） 18:30〜