Skip to content
Snippets Groups Projects
Commit 5bf3ed18 authored by Paul McCarthy's avatar Paul McCarthy :mountain_bicyclist:
Browse files

Merge branch 'master' into 'master' 

Master

See merge request fsl/pytreat-2018-practicals!45
parents d2abfdcc ef633e9d
No related branches found
No related tags found
No related merge requests found
Expand all Hide whitespace changes
Inline Side-by-side
Showing
with 1682 additions and 0 deletions
talks/tensorflow/.gitkeep 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/demos/.gitkeep 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/demos/convolutional_network_demo.ipynb 0 → 100644
+ 435
− 0
View file @ 5bf3ed18
This diff is collapsed.
talks/tensorflow/demos/labels_1024.tsv 0 → 100644
+ 1024
− 0
View file @ 5bf3ed18
7
2
1
0
4
1
4
9
5
9
0
6
9
0
1
5
9
7
3
4
9
6
6
5
4
0
7
4
0
1
3
1
3
4
7
2
7
1
2
1
1
7
4
2
3
5
1
2
4
4
6
3
5
5
6
0
4
1
9
5
7
8
9
3
7
4
6
4
3
0
7
0
2
9
1
7
3
2
9
7
7
6
2
7
8
4
7
3
6
1
3
6
9
3
1
4
1
7
6
9
6
0
5
4
9
9
2
1
9
4
8
7
3
9
7
4
4
4
9
2
5
4
7
6
7
9
0
5
8
5
6
6
5
7
8
1
0
1
6
4
6
7
3
1
7
1
8
2
0
2
9
9
5
5
1
5
6
0
3
4
4
6
5
4
6
5
4
5
1
4
4
7
2
3
2
7
1
8
1
8
1
8
5
0
8
9
2
5
0
1
1
1
0
9
0
3
1
6
4
2
3
6
1
1
1
3
9
5
2
9
4
5
9
3
9
0
3
6
5
5
7
2
2
7
1
2
8
4
1
7
3
3
8
8
7
9
2
2
4
1
5
9
8
7
2
3
0
4
4
2
4
1
9
5
7
7
2
8
2
6
8
5
7
7
9
1
8
1
8
0
3
0
1
9
9
4
1
8
2
1
2
9
7
5
9
2
6
4
1
5
8
2
9
2
0
4
0
0
2
8
4
7
1
2
4
0
2
7
4
3
3
0
0
3
1
9
6
5
2
5
9
2
9
3
0
4
2
0
7
1
1
2
1
5
3
3
9
7
8
6
5
6
1
3
8
1
0
5
1
3
1
5
5
6
1
8
5
1
7
9
4
6
2
2
5
0
6
5
6
3
7
2
0
8
8
5
4
1
1
4
0
3
3
7
6
1
6
2
1
9
2
8
6
1
9
5
2
5
4
4
2
8
3
8
2
4
5
0
3
1
7
7
5
7
9
7
1
9
2
1
4
2
9
2
0
4
9
1
4
8
1
8
4
5
9
8
8
3
7
6
0
0
3
0
2
6
6
4
9
3
3
3
2
3
9
1
2
6
8
0
5
6
6
6
3
8
8
2
7
5
8
9
6
1
8
4
1
2
5
9
1
9
7
5
4
0
8
9
9
1
0
5
2
3
7
8
9
4
0
6
3
9
5
2
1
3
1
3
6
5
7
4
2
2
6
3
2
6
5
4
8
9
7
1
3
0
3
8
3
1
9
3
4
4
6
4
2
1
8
2
5
4
8
8
4
0
0
2
3
2
7
7
0
8
7
4
4
7
9
6
9
0
9
8
0
4
6
0
6
3
5
4
8
3
3
9
3
3
3
7
8
0
8
2
1
7
0
6
5
4
3
8
0
9
6
3
8
0
9
9
6
8
6
8
5
7
8
6
0
2
4
0
2
2
3
1
9
7
5
1
0
8
4
6
2
6
7
9
3
2
9
8
2
2
9
2
7
3
5
9
1
8
0
2
0
5
2
1
3
7
6
7
1
2
5
8
0
3
7
2
4
0
9
1
8
6
7
7
4
3
4
9
1
9
5
1
7
3
9
7
6
9
1
3
7
8
3
3
6
7
2
8
5
8
5
1
1
4
4
3
1
0
7
7
0
7
9
4
4
8
5
5
4
0
8
2
1
0
8
4
5
0
4
0
6
1
7
3
2
6
7
2
6
9
3
1
4
6
2
5
4
2
0
6
2
1
7
3
4
1
0
5
4
3
1
1
7
4
9
9
4
8
4
0
2
4
5
1
1
6
4
7
1
9
4
2
4
1
5
5
3
8
3
1
4
5
6
8
9
4
1
5
3
8
0
3
2
5
1
2
8
3
4
4
0
8
8
3
3
1
7
3
5
9
6
3
2
6
1
3
6
0
7
2
1
7
1
4
2
4
2
1
7
9
6
1
1
2
4
8
1
7
7
4
8
0
7
3
1
3
1
0
7
7
0
3
5
5
2
7
6
6
9
2
8
3
5
2
2
5
6
0
8
2
9
2
8
8
8
8
7
4
9
3
0
6
6
3
2
1
3
2
2
9
3
0
0
5
7
8
1
4
4
6
0
2
9
1
4
7
4
7
3
9
8
8
4
7
1
2
1
2
2
3
2
3
2
3
9
1
7
4
0
3
5
5
8
6
3
2
6
7
6
6
3
2
7
8
1
1
7
5
6
4
9
5
1
3
3
4
7
8
9
1
1
6
9
1
4
4
5
4
0
6
2
2
3
1
5
1
2
0
3
8
1
2
6
7
1
6
2
3
9
0
1
2
2
0
8
9
9
0
2
5
1
9
7
8
1
0
4
1
7
9
6
4
2
6
8
1
3
7
5
4
talks/tensorflow/demos/sprite_1024.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/demos/sprite_1024.png

169 KiB

talks/tensorflow/demos/tensorboard_demo.ipynb 0 → 100644
+ 223
− 0
View file @ 5bf3ed18
%% Cell type:code id: tags:
``` python
import os
import os.path
import shutil
import tensorflow as tf
LOGDIR = "/tmp/TensorBoard_demo/"
LABELS = os.path.join(os.getcwd(), "labels_1024.tsv")
SPRITES = os.path.join(os.getcwd(), "sprite_1024.png")
### MNIST EMBEDDINGS ###
mnist = tf.contrib.learn.datasets.mnist.read_data_sets(train_dir=LOGDIR + "data", one_hot=True)
### Get a sprite and labels file for the embedding projector ###
if not (os.path.isfile(LABELS) and os.path.isfile(SPRITES)):
print("Necessary data files were not found: LABELS and SPRITES")
exit(1)
```
%% Output
Extracting /tmp/TensorBoard_demo/data/train-images-idx3-ubyte.gz
Extracting /tmp/TensorBoard_demo/data/train-labels-idx1-ubyte.gz
Extracting /tmp/TensorBoard_demo/data/t10k-images-idx3-ubyte.gz
Extracting /tmp/TensorBoard_demo/data/t10k-labels-idx1-ubyte.gz
%% Cell type:code id: tags:
``` python
def conv_layer(input, size_in, size_out, name="conv"):
with tf.name_scope(name):
w = tf.Variable(tf.truncated_normal([5, 5, size_in, size_out], stddev=0.1), name="W")
b = tf.Variable(tf.constant(0.1, shape=[size_out]), name="B")
conv = tf.nn.conv2d(input, w, strides=[1, 1, 1, 1], padding="SAME")
act = tf.nn.relu(conv + b)
tf.summary.histogram("weights", w)
tf.summary.histogram("biases", b)
tf.summary.histogram("activations", act)
return tf.nn.max_pool(act, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1], padding="SAME")
def fc_layer(input, size_in, size_out, name="fc"):
with tf.name_scope(name):
w = tf.Variable(tf.truncated_normal([size_in, size_out], stddev=0.1), name="W")
b = tf.Variable(tf.constant(0.1, shape=[size_out]), name="B")
act = tf.matmul(input, w) + b
tf.summary.histogram("weights", w)
tf.summary.histogram("biases", b)
tf.summary.histogram("activations", act)
return act
```
%% Cell type:code id: tags:
``` python
def mnist_model(learning_rate):
tf.reset_default_graph()
sess = tf.Session()
# Setup placeholders, and reshape the data
x = tf.placeholder(tf.float32, shape=[None, 784], name="x")
x_image = tf.reshape(x, [-1, 28, 28, 1])
tf.summary.image('input', x_image, 3)
y = tf.placeholder(tf.float32, shape=[None, 10], name="labels")
conv_out = conv_layer(x_image, 1, 16, "conv")
flattened = tf.reshape(conv_out, [-1, 7 * 7 * 64])
embedding_input = flattened
embedding_size = 7*7*64
logits = fc_layer(flattened, 7*7*64, 10, "fc")
with tf.name_scope("xent"):
xent = tf.reduce_mean(
tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=y), name="xent")
tf.summary.scalar("xent", xent)
with tf.name_scope("train"):
train_step = tf.train.AdamOptimizer(learning_rate).minimize(xent)
with tf.name_scope("accuracy"):
correct_prediction = tf.equal(tf.argmax(logits, 1), tf.argmax(y, 1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
tf.summary.scalar("accuracy", accuracy)
summ = tf.summary.merge_all()
embedding = tf.Variable(tf.zeros([1024, embedding_size]), name="test_embedding")
assignment = embedding.assign(embedding_input)
saver = tf.train.Saver()
sess.run(tf.global_variables_initializer())
writer = tf.summary.FileWriter(LOGDIR)
writer.add_graph(sess.graph)
config = tf.contrib.tensorboard.plugins.projector.ProjectorConfig()
embedding_config = config.embeddings.add()
embedding_config.tensor_name = embedding.name
embedding_config.sprite.image_path = SPRITES
embedding_config.metadata_path = LABELS
# Specify the width and height of a single thumbnail.
embedding_config.sprite.single_image_dim.extend([28, 28])
tf.contrib.tensorboard.plugins.projector.visualize_embeddings(writer, config)
for i in range(1,2001):
batch = mnist.train.next_batch(100)
if i % 5 == 0:
[train_accuracy, s] = sess.run([accuracy, summ], feed_dict={x: batch[0], y: batch[1]})
writer.add_summary(s, i)
if i % 500 == 0:
sess.run(assignment, feed_dict={x: mnist.test.images[:1024], y: mnist.test.labels[:1024]})
saver.save(sess, os.path.join(LOGDIR, "model.ckpt"), i)
sess.run(train_step, feed_dict={x: batch[0], y: batch[1]})
```
%% Cell type:code id: tags:
``` python
learning_rate = 1E-3
mnist_model(learning_rate)
print('Done training!')
print('Run `tensorboard --logdir=%s` to see the results.' % LOGDIR)
print('Running on mac? If you want to get rid of the dialogue asking to give '
'network permissions to TensorBoard, you can provide this flag: '
'--host=localhost')
```
%% Output
Done training!
Run `tensorboard --logdir=/tmp/TensorBoard_demo/` to see the results.
Running on mac? If you want to get rid of the dialogue asking to give network permissions to TensorBoard, you can provide this flag: --host=localhost
%% Cell type:code id: tags:
``` python
!tensorboard --logdir=/tmp/TensorBoard_demo/
```
%% Output
Starting TensorBoard b'47' at http://0.0.0.0:6006
(Press CTRL+C to quit)
WARNING:tensorflow:Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
WARNING:tensorflow:Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
WARNING:tensorflow:Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
WARNING:tensorflow:path ../external/data/plugin/text/runs not found, sending 404
WARNING:tensorflow:path ../external/data/plugin/text/runs not found, sending 404
WARNING:tensorflow:path ../external/data/plugin/text/runs not found, sending 404
WARNING:tensorflow:path ../external/data/plugin/text/runs not found, sending 404
^C
%% Cell type:code id: tags:
``` python
```
talks/tensorflow/img/.gitkeep 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/bigger_boat.jpg 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/bigger_boat.jpg

77.3 KiB

talks/tensorflow/img/cg/.gitkeep 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/cg/ad.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/cg/ad.png

156 KiB

talks/tensorflow/img/cg/cg1.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/cg/cg1.png

113 KiB

talks/tensorflow/img/copyright_infringement.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/copyright_infringement.png

419 KiB

talks/tensorflow/img/demos/.gitkeep 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/demos/nothing_here 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/fchollet_popularity_2017.jpg 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/fchollet_popularity_2017.jpg

91.9 KiB

talks/tensorflow/img/how_big_is_your_data.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/how_big_is_your_data.png

16.1 KiB

talks/tensorflow/img/model_zoo.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/model_zoo.png

62.7 KiB

talks/tensorflow/img/multiple_devices.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/multiple_devices.png

151 KiB

talks/tensorflow/img/so_hot_right_now.jpg 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/so_hot_right_now.jpg

78.7 KiB

talks/tensorflow/img/what_leo_needs.png 0 → 100644
+ 0
− 0
View file @ 5bf3ed18
talks/tensorflow/img/what_leo_needs.png

280 KiB

0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment