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import tflearn
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.normalization import local_response_normalization
from tflearn.layers.estimator import regression
# Data loading and preprocessing
import tflearn.datasets.mnist as mnist
X, Y, testX, testY = mnist.load_data(one_hot=True)
X = X.reshape([-1, 28, 28, 1])
@wow2006
wow2006 / CMakeLists.txt
Created October 31, 2015 11:30
Simple CMakeExample
project(Testing)
cmake_minimum_required(VERSION 2.8)
add_executable(${PROJECT_NAME} main.cpp)