#?Copyright?2016?The?TensorFlow?Authors.?All?Rights?Reserved.
#
#?Licensed?under?the?Apache?License?Version?2.0?（the?“License“）;
#?you?may?not?use?this?file?except?in?compliance?with?the?License.
#?You?may?obtain?a?copy?of?the?License?at
#
#?http://www.apache.org/licenses/LICENSE-2.0
#
#?Unless?required?by?applicable?law?or?agreed?to?in?writing?software
#?distributed?under?the?License?is?distributed?on?an?“AS?IS“?BASIS
#?WITHOUT?WARRANTIES?OR?CONDITIONS?OF?ANY?KIND?either?express?or?implied.
#?See?the?License?for?the?specific?language?governing?permissions?and
#?limitations?under?the?License.
#?==============================================================================
“““Contains?a?model?definition?for?AlexNet.

This?work?was?first?described?in:
??ImageNet?Classification?with?Deep?Convolutional?Neural?Networks
??Alex?Krizhevsky?Ilya?Sutskever?and?Geoffrey?E.?Hinton

and?later?refined?in:
??One?weird?trick?for?parallelizing?convolutional?neural?networks
??Alex?Krizhevsky?2014

Here?we?provide?the?implementation?proposed?in?“One?weird?trick“?and?not
“ImageNet?Classification“?as?per?the?paper?the?LRN?layers?have?been?removed.

Usage:
??with?slim.arg_scope（alexnet.alexnet_v2_arg_scope（））:
????outputs?end_points?=?alexnet.alexnet_v2（inputs）

@@alexnet_v2
“““

from?__future__?import?absolute_import
from?__future__?import?division
from?__future__?import?print_function

import?tensorflow?as?tf

slim?=?tf.contrib.slim
trunc_normal?=?lambda?stddev:?tf.truncated_normal_initializer（0.0?stddev）


def?alexnet_v2_arg_scope（weight_decay=0.0005）:
??with?slim.arg_scope（[slim.conv2d?slim.fully_connected]
??????????????????????activation_fn=tf.nn.relu
??????????????????????biases_initializer=tf.constant_initializer（0.1）
??????????????????????weights_regularizer=slim.l2_regularizer（weight_decay））:
????with?slim.arg_scope（[slim.conv2d]?padding=‘SAME‘）:
??????with?slim.arg_scope（[slim.max_pool2d]?padding=‘VALID‘）?as?arg_sc:
????????return?arg_sc


def?alexnet_v2（inputs
???????????????num_classes=1000
???????????????is_training=True
???????????????dropout_keep_prob=0.5
???????????????spatial_squeeze=True
???????????????scope=‘alexnet_v2‘）:
??“““AlexNet?version?2.

??Described?in:?http://arxiv.org/pdf/1404.5997v2.pdf
??Parameters?from:
??github.com/akrizhevsky/cuda-convnet2/blob/master/layers/
??layers-imagenet-1gpu.cfg

??Note:?All?the?fully_connected?layers?have?been?transformed?to?conv2d?layers.
????????To?use?in?classification?mode?resize?input?to?224x224.?To?use?in?fully
????????convolutional?mode?set?spatial_squeeze?to?false.
????????The?LRN?layers?have?been?removed?and?change?the?initializers?from
????????random_normal_initializer?to?xavier_initializer.

??Args:
????inputs:?a?tensor?of?size?[batch_size?height?width?channels].
????num_classes:?number?of?predicted?classes.
????is_training:?whether?or?not?the?model?is?being?trained.
????dropout_keep_prob:?the?probability?that?activations?are?kept?in?the?dropout
??????layers?during?traini

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2016-11-25?08:34??handson-ml-master\
?????文件?????????244??2016-11-25?08:34??handson-ml-master\.binder_start
?????文件?????????112??2016-11-25?08:34??handson-ml-master\.gitignore
?????文件??????274510??2016-11-25?08:34??handson-ml-master\01_the_machine_learning_landscape.ipynb
?????文件?????2118822??2016-11-25?08:34??handson-ml-master\02_end_to_end_machine_learning_project.ipynb
?????文件??????960196??2016-11-25?08:34??handson-ml-master\03_classification.ipynb
?????文件??????743852??2016-11-25?08:34??handson-ml-master\04_training_linear_models.ipynb
?????文件??????867639??2016-11-25?08:34??handson-ml-master\05_support_vector_machines.ipynb
?????文件??????201263??2016-11-25?08:34??handson-ml-master\06_decision_trees.ipynb
?????文件??????567343??2016-11-25?08:34??handson-ml-master\07_ensemble_learning_and_random_forests.ipynb
?????文件?????1560349??2016-11-25?08:34??handson-ml-master\08_dimensionality_reduction.ipynb
?????文件???????83498??2016-11-25?08:34??handson-ml-master\09_up_and_running_with_tensorflow.ipynb
?????文件??????326697??2016-11-25?08:34??handson-ml-master\10_introduction_to_artificial_neural_networks.ipynb
?????文件??????275788??2016-11-25?08:34??handson-ml-master\11_deep_learning.ipynb
?????文件???????15732??2016-11-25?08:34??handson-ml-master\12_distributed_tensorflow.ipynb
?????文件?????1507818??2016-11-25?08:34??handson-ml-master\13_convolutional_neural_networks.ipynb
?????文件??????897957??2016-11-25?08:34??handson-ml-master\14_recurrent_neural_networks.ipynb
?????文件??????328928??2016-11-25?08:34??handson-ml-master\15_autoencoders.ipynb
?????文件??????757620??2016-11-25?08:34??handson-ml-master\16_reinforcement_learning.ipynb
?????文件????????1927??2016-11-25?08:34??handson-ml-master\Dockerfile
?????文件???????10175??2016-11-25?08:34??handson-ml-master\LICENSE
?????文件????????3639??2016-11-25?08:34??handson-ml-master\README.md
?????目錄???????????0??2016-11-25?08:34??handson-ml-master\datasets\
?????目錄???????????0??2016-11-25?08:34??handson-ml-master\datasets\housing\
?????文件????????3679??2016-11-25?08:34??handson-ml-master\datasets\housing\README.md
?????文件?????1423529??2016-11-25?08:34??handson-ml-master\datasets\housing\housing.csv
?????文件??????409488??2016-11-25?08:34??handson-ml-master\datasets\housing\housing.tgz
?????目錄???????????0??2016-11-25?08:34??handson-ml-master\datasets\inception\
?????文件???????31674??2016-11-25?08:34??handson-ml-master\datasets\inception\imagenet_class_names.txt
?????目錄???????????0??2016-11-25?08:34??handson-ml-master\datasets\lifesat\
?????文件????????4311??2016-11-25?08:34??handson-ml-master\datasets\lifesat\README.md
............此處省略70個文件信息