I wrote a simple script to calculate the golden ratio from 1,2,5. Is there a way to actually produce a visual through tensorflow (possibly with the aid of matplotlib<
This is exactly what tensorboard was created for. You need to slightly modify your code to store the information about your graph.
import tensorflow as tf
C_1 = tf.constant(5.0)
C_2 = tf.constant(1.0)
C_3 = tf.constant(2.0)
golden_ratio = (tf.sqrt(C_1) + C_2)/C_3
with tf.Session() as sess:
writer = tf.summary.FileWriter('logs', sess.graph)
print sess.run(golden_ratio)
writer.close()
This will create a logs
folder with event files in your working directory. After this you should run tensorboard from your command line tensorboard --logdir="logs"
and navigate to the url it gives you (http://127.0.0.1:6006). In your browser go to GRAPHS tab and enjoy your graph.
You will use TB a lot if you are going to do anything with TF. So it makes sense to learn about it more from official tutorials and from this video.