Network Structure: Backpropagation applied to handwritten zip code recognition
Network description
- H1: 768(8*8*12) units, 1068 parameters(768+25*12)(bias associated with units, not kernel)
TO BE READ
URLs for the blogs and papers to be read Interesting materials NN history2 Spheral CNN extreme learned image compression differential plasticity neural autoregressive flow Paper weekly clone voice (startup company github) soccer and ML weekly supervised learning ( previous work ) loc2vec Large scale training implementation distribution training Reinforcement learning reinforcement learning atari https://eng.uber.com/accelerated-neuroevolution/ Semantic segmentation Introduction Medical imaging blog Interesting blog faster rcnn grid learning course material max welling attention model (CVPR 2017) cvpr 2017 list image caption graph lstm reweight samples speech recognition reddit speech recognition summary good paper for speed speech recognition word2vec Deep RL examples REG Embedding speaker embedding automonous driving SHELL thirteen skills for writting shell script
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