May 2018
Beginner
490 pages
13h 16m
English
Content preview from Artificial Intelligence By Example
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The architecture of Python TensorFlow
Implementation of the McCulloch-Pitts neuron can best be viewed with TensorBoard, as shown in the following graph:
This is obtained by adding the following TensorBoard code at the end of your session. This data flow graph will help optimize a program when things go wrong.
#___________Tensorboard________________________#with tf.Session() as sess:Writer = tf.summary.FileWriter("directory on your machine", tfs.graph)Writer.close()def launchTensorBoard(): import os #os.system('tensorboard --logdir=' + 'your directory') os.system('tensorboard --logdir=' + 'your directory') returnimport threadingt = threading.Thread(target=launchTensorBoard, ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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