Mastering OpenCV 4 with Python

Introduction example to TensorFlow

The TensorFlow library represents the computation to perform by linking operations into a computation graph. Once this computation graph is created, you can open a TensorFlow session and execute the computation graph to get the results. This procedure can be seen in the tensorflow_basic_op.py script, which performs a multiplication operation defined inside a computation graph as follows:

# path to the folder that we want to save the logs for Tensorboardlogs_path = "./logs"# Define placeholders:X_1 = tf.placeholder(tf.int16, name="X_1")X_2 = tf.placeholder(tf.int16, name="X_2")# Define a multiplication operation:multiply = tf.multiply(X_1, X_2, name="my_multiplication")

The values for placeholders are provided ...