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import os
os.environ["CUDA_VISIBLE_DEVICES"]="1"
import tensorflow as tf
sess = tf.Session()
from keras import backend as K
K.set_session(sess)
img = tf.placeholder(tf.float32,shape=(None,784))
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@bfarzin
bfarzin / Bayesian CR.ipynb
Created November 9, 2018 20:55
Bayesian CR
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@bfarzin
bfarzin / AdaptiveLogSoftmax separate forward pass and loss calculation cleanup.ipynb
Created February 15, 2019 19:28
AdaptiveSoftmax and Adaptive Embedding example
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