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Add folder creation #1

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Add folder creation #1

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3c184ec
Add folder creation
Phutoast Sep 27, 2017
d537e16
FloydHub File and fix bugs
Phutoast Sep 27, 2017
b4fdc00
Minor Bugs Fix
Phutoast Sep 27, 2017
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1 change: 1 addition & 0 deletions .floydexpt
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{"name": "cnn-test-visualized", "family_id": "qNGVhmKB7MjGF7oh6KSFPc"}
14 changes: 14 additions & 0 deletions .floydignore
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# Directories and files to ignore when uploading code to floyd

.git
.eggs
eggs
lib
lib64
parts
sdist
var
*.pyc
*.swp
.DS_Store
9 changes: 5 additions & 4 deletions ConvolutionalNeuralNetwork.py
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import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import os

mnist = input_data.read_data_sets("../MNIST_data/", one_hot=True)

Expand Down Expand Up @@ -116,9 +117,9 @@
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())

training_writer = tf.summary.FileWriter("../LogsCNN/training", sess.graph)
testing_writer = tf.summary.FileWriter("../LogsCNN/testing", sess.graph)
accuracy_writer = tf.summary.FileWriter("../LogsCNN/accuracy", sess.graph)
training_writer = tf.summary.FileWriter("/output/training_log", sess.graph)
testing_writer = tf.summary.FileWriter("/output/testing_log", sess.graph)
accuracy_writer = tf.summary.FileWriter("/output/accuracy_log", sess.graph)

for epoch in range(training_epochs):
train_batch_data, train_batch_labels = mnist.train.next_batch(batch_size)
Expand All @@ -143,7 +144,7 @@

if epoch % 100 == 0:
print("Saving the model.")
save_path = saver.save(sess, "../saveCNN/trained_model" + str(epoch) + ".ckpt")
save_path = saver.save(sess, "/output/trained_model" + str(epoch) + ".ckpt")

final_accuracy = sess.run(accuracy, feed_dict={X: mnist.test.images, Y: mnist.test.labels})

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