#coding:utf-8 __author__ = 'similarface' import tensorflow as tf sess=tf.Session() #max(features, 0) print(sess.run(tf.nn.relu([-3,3,10]))) #min(max(features, 0), 6) print(sess.run(tf.nn.relu6([-3., 3., 10.]))) #1/(1+exp(-x)) print(sess.run(tf.nn.sigmoid([-1., 0., 1.]))) # ((exp(x)- exp(-x))/(exp(x)+exp(-x)) print(sess.run(tf.nn.tanh([-1., 0., 1.]))) #x/(abs(x) + 1) print(sess.run(tf.nn.softsign([-1., 0., -1.]))) #log(exp(x) + 1) print(sess.run(tf.nn.softplus([-1., 0., -1.]))) # (exp(x)+1) if x < 0 else x print(sess.run(tf.nn.elu([-1., 0., -1.]))) #https://www.jianshu.com/p/e3a79eac554f
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