Notes - model assessment: accuracy assessment

laebl one-hot encoding rate calculation accuracy

import tensorflow as tf

y = tf.constant([[0, 0, 1], 
				[1, 0, 0]], dtype=tf.float32)
y_pred = tf.random_uniform(shape=(2, 3))


accuracy = tf.reduce_mean(tf.cast(tf.equal(tf.argmax(y, 1), tf.argmax(y_pred, 1)), dtype=tf.float32))
with tf.Session() as sess:
    print(accuracy.eval())