Tutorial by Examples

Variable tensors are used when the values require updating within a session. It is the type of tensor that would be used for the weights matrix when creating neural networks, since these values will be updated as the model is being trained. Declaring a variable tensor can be done using the tf.Varia...

Sometimes we need to fetch and print the value of a TensorFlow variable to guarantee our program is correct. For example, if we have the following program: import tensorflow as tf import numpy as np a = tf.Variable(tf.random_normal([2,3])) # declare a tensorflow variable b = tf.random_normal([2...