from?__future__?import?division?print_function?absolute_import

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

import?tflearn.datasets.oxflower17?as?oxflower17

X?Y?=?oxflower17.load_data（one_hot=True?resize_pics=（227?227））??##此句調用了tflearn文件夾下dataset中oxflower17.py函數，
##此函數主要作用是下載Oxfords數據

#?Building?‘AlexNet‘
network?=?input_data（shape=[None?227?227?3]）
network?=?conv_2d（network?96?11?strides=4?activation=‘relu‘）
network?=?max_pool_2d（network?3?strides=2）
network?=?local_response_normalization（network）
network?=?conv_2d（network?256?5?activation=‘rel