Hello, TensorFlow! (Just the Code)

Monday June 20, 2016

This is the final code block from Hello, TensorFlow! I like it as a cheat sheet for TensorFlow basics.

I updated this code to work with TensorFlow 1.0.1. Coming from TensorFlow 0.8, this required changing 5 of the 15 lines involving TensorFlow.

import tensorflow as tf

x = tf.constant(1.0, name='input')
w = tf.Variable(0.8, name='weight')
y = tf.multiply(w, x, name='output')
y_ = tf.constant(0.0, name='correct_value')
loss = tf.pow(y - y_, 2, name='loss')
train_step = tf.train.GradientDescentOptimizer(0.025).minimize(loss)

for value in [x, w, y, y_, loss]:
    tf.summary.scalar(value.op.name, value)

summaries = tf.summary.merge_all()

session = tf.Session()
summary_writer = tf.summary.FileWriter('log_simple_stats', session.graph)

for i in range(100):
    summary_writer.add_summary(session.run(summaries), i)


Then to start TensorBoard in a shell:

tensorboard --logdir=log_simple_stats

Hello, TensorFlow! is now an interactive code and video Oriole as well.