Tutorial by Examples

import tensorflow as tf # good idea tf.reset_default_graph() # DO MODEL STUFF # Pretrained weighting of 2.0 W = tf.get_variable('w', shape=[], initializer=tf.constant(2.0), dtype=tf.float32) # Model input x x = tf.placeholder(tf.float32, name='x') # Model output y = W*x y = tf.multiply(W,...

public static void main( String[] args ) throws IOException { // good idea to print the version number, 1.2.0 as of this writing System.out.println(TensorFlow.version()); final int NUM_PREDICTIONS = 1; // load the model Bundle try (SavedModelBundle b = SavedModelB...