GitHub - hillbig/binary_net: experimental binary net implementation in chainer
load MNIST dataset epoch 1 graph generated train mean loss=0.573861178756, accuracy=0.92756666926 test mean loss=0.473955234885, accuracy=0.957400003672 epoch 2 train mean loss=0.456328810602, accuracy=0.963833337426 test mean loss=0.436628208458, accuracy=0.966100006104 epoch 3 train mean loss=0.431186137001, accuracy=0.970866675178 test mean loss=0.425710965991, accuracy=0.968000004292 epoch 4 t
Deep Learningの技術と未来
PFIセミナー2013年6月6日分です。Deep Learningの技術的基礎からBengioの怪しげな妄想まで。Read less
Deep Learning
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. This website is intended to host a variety of resources and pointers to information about Deep Learning. In these pages you will find a reading list, links to software, datasets, a list of deep learning resea
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