This document discusses a deep learning Gobang project on GitHub that uses TensorFlow. It imports TensorFlow and defines two constant tensors for x and y values, adds them together using TensorFlow's add operation, runs the session to get the result, and prints it. It then shows an example Gobang board position with X's and O's marking where pieces have been played.

4. TokyoYoshida/DeepLearningGobang
https://github.com/TokyoYoshida/DeepLarningGobang

5. Tensorflow

6. import tensorflow as tf
const_x = tf.constant(1, name=‘x')
const_y = tf.constant(2, name=‘y’)
add = tf.add(const_x, const_y, name=‘add')
sess = tf.Session()
result = sess.run(add)
print(result)

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