hейронные сети на практике — r&d, azoft
TRANSCRIPT
R&D, Azoftrnd.azoft.com
1. 2. 3. 4. Caffe5. 6. deep learning7. 8.
learning rate
momentum
Nesterov momentum Adam
-
drop out
C drop out
Weight decay. .
. , /.
. .
. , .
PCA whitening
ZCA whitening
/ /
,
CNN Caffe
. .
Conv + ReLU
lstm. natural language processing speech recognition. . . , . . natural language processing .
deep learningCaffetheanolasagnetorchTensorFlow Google ()
Fractional max poolingRecurrent convolutional layers
CNN
feature maps
. . . Random Forest
Recurrent convolutional layers
cifar-10, mnist . , , , . computer vision
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