-
-
Save AlyShmahell/96ee7112988f1f5002efcb7ce6ecad92 to your computer and use it in GitHub Desktop.
tensorflow layer example
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import tensorflow as tf | |
| import numpy as np | |
| import uuid | |
| x = tf.placeholder(shape=[None, 3], dtype=tf.float32) | |
| nn = tf.layers.dense(x, 3, activation=tf.nn.sigmoid) | |
| nn = tf.layers.dense(nn, 5, activation=tf.nn.sigmoid) | |
| encoded = tf.layers.dense(nn, 2, activation=tf.nn.sigmoid) | |
| nn = tf.layers.dense(encoded, 5, activation=tf.nn.sigmoid) | |
| nn = tf.layers.dense(nn, 3, activation=tf.nn.sigmoid) | |
| cost = tf.reduce_mean((nn - x)**2) | |
| optimizer = tf.train.RMSPropOptimizer(0.01).minimize(cost) | |
| init = tf.global_variables_initializer() | |
| tf.summary.scalar("cost", cost) | |
| merged_summary_op = tf.summary.merge_all() | |
| with tf.Session() as sess: | |
| sess.run(init) | |
| uniq_id = "/tmp/tensorboard-layers-api/" + uuid.uuid1().__str__()[:6] | |
| summary_writer = tf.summary.FileWriter(uniq_id, graph=tf.get_default_graph()) | |
| x_vals = np.random.normal(0, 1, (10000, 3)) | |
| for step in range(10000): | |
| _, val, summary = sess.run([optimizer, cost, merged_summary_op], | |
| feed_dict={x: x_vals}) | |
| if step % 5 == 0: | |
| print("step: {}, value: {}".format(step, val)) | |
| summary_writer.add_summary(summary, step) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment