Mnist

import tflearn
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.estimator import regression
import tflearn.datasets.mnist as mnist

X, Y, test_x, test_y = mnist.load_data(one_hot=True)

X = X.reshape([-1, 28, 28, 1])
test_x = test_x.reshape([-1, 28, 28, 1])

convnet = input_data(shape=[None, 28, 28, 1], name='input')

convnet = conv_2d(convnet, 32, 2, activation='relu')
convnet = max_pool_2d(convnet, 2)

convnet = conv_2d(convnet, 64, 2, activation='relu')
convnet = max_pool_2d(convnet, 2)

convnet = fully_connected(convnet, 1024, activation='relu')
convnet = dropout(convnet, 0.8)

convnet = fully_connected(convnet, 10, activation='softmax')
convnet = regression(convnet, optimizer='adam', learning_rate=0.01, loss='categorical_crossentropy', name='targets')

model = tflearn.DNN(convnet)
model.fit({'input': X}, {'targets': Y}, n_epoch=10, validation_set=({'input': test_x}, {'targets': test_y}), 
    snapshot_step=500, show_metric=True, run_id='mnist')

Source: pythonprogramming.net

Similar codes

3 votes209 views2 answers
Postgres Database Django
Python Django
103 votes204 views6 answers
Time.sleep() python
Python
0 vote260 views1 answer
Createdb psql
Python
59 votes168 views6 answers
Python replace character in string
Python
0 vote177 views1 answer
Spacy text annotation dict comprehension
Python
6 votes173 views2 answers
Django read mesage
Python
49 votes128 views3 answers
Web scraping python
Python
0 vote162 views1 answer
Kinesis Client get_records example
Python
2 votes155 views1 answer
Add list to end of list python
Python
0 vote159 views1 answer
Python add comma each 3 digits format
Python