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    文件類型: .rar
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    發布日期: 2021-06-13
  • 語言: 其他
  • 標簽: Alexnet??

資源簡介

TensorFlow實現訓練Alexnet網絡,訓練mnist數據集合cfar數據集。mnist數據集測試準確度0.986.不需要下載權重,因為輸出大小不一樣。

資源截圖

代碼片段和文件信息


import?tensorflow?as?tf
import?numpy?as?np
import?os

os.environ[‘TF_CPP_MIN_LOG_LEVEL‘]?=?‘2‘??


class?AlexNet(object):
????“““Implementation?of?the?AlexNet.“““

????def?__init__(self?x?keep_prob?num_classes):
????????“““Create?the?graph?of?the?AlexNet?model.

????????Args:
????????????x:?Placeholder?for?the?input?tensor.
????????????keep_prob:?Dropout?probability.
????????????num_classes:?Number?of?classes?in?the?dataset.
????????????skip_layer:?List?of?names?of?the?layer?that?get?trained?from
????????????????scratch
????????????weights_path:?Complete?path?to?the?pretrained?weight?file?if?it
????????????????isn‘t?in?the?same?folder?as?this?code
????????“““
????????#?Parse?input?arguments?into?class?variables
????????self.X?=?x
????????self.NUM_CLASSES?=?num_classes
????????self.KEEP_PROB?=?keep_prob
????????#?self.SKIP_layer?=?skip_layer
???????#?self.WEIGHTS_PATH?=?weights_path

????????#?Call?the?create?function?to?build?the?computational?graph?of?AlexNet
????????self.create()

????def?create(self):
????????“““Create?the?network?graph.“““
????????#?1st?layer:?Conv?(w?ReLu)?->?Lrn?->?Pool
????????conv1?=?conv(self.X?[11396]?[1111]?padding=‘VALID‘?name=‘conv1‘)
????????norm1?=?lrn(conv1?2?1e-05?0.75?name=‘norm1‘)
????????pool1?=?max_pool(norm1?1?1?1?1?padding=‘VALID‘?name=‘pool1‘)

????????#?2nd?layer:?Conv?(w?ReLu)??->?Lrn?->?Pool?with?2?groups
????????conv2?=?conv(pool1?[3?396256]?[1?111]?padding=‘VALID‘name=‘conv2‘)
????????norm2?=?lrn(conv2?2?1e-05?0.75?name=‘norm2‘)
????????pool2?=?max_pool(norm2?2?2?2?2?padding=‘VALID‘?name=‘pool2‘)

????????#?3rd?layer:?Conv?(w?ReLu)
????????conv3?=?conv(pool2?[3?3256?384]?[1111]?name=‘conv3‘)

????????#?4th?layer:?Conv?(w?ReLu)?splitted?into?two?groups
????????conv4?=?conv(conv3?[3?3?384?384]?[1?1?1?1]??name=‘conv4‘)

????????#?5th?layer:?Conv?(w?ReLu)?->?Pool?splitted?into?two?groups
????????conv5?=?conv(conv4?[3?3384?256]?[1?111]?name=‘conv5‘)
????????pool5?=?max_pool(conv5?3?3?2?2?padding=‘VALID‘?name=‘pool5‘)

????????#?6th?layer:?Flatten?->?FC?(w?ReLu)?->?Dropout
????????flattened?=?tf.reshape(pool5?[-1?6?*?6?*?256])
????????fc6?=?fc(flattened?6?*?6?*?256?4096?name=‘fc6‘)
????????dropout6?=?dropout(fc6?self.KEEP_PROB)

????????#?7th?layer:?FC?(w?ReLu)?->?Dropout
????????fc7?=?fc(dropout6?4096?4096?name=‘fc7‘)
????????dropout7?=?dropout(fc7?self.KEEP_PROB)

????????#?8th?layer:?FC?and?return?unscaled?activations
????????self.fc8?=?fc(dropout7?4096?self.NUM_CLASSES?relu?=?Falsename=‘fc8‘)


def?conv(input_tensorfilterstridesnamepadding?=?“SAME“):
????with?tf.variable_scope(name):
????????weights?=?tf.get_variable(‘weights‘filterinitializer=tf.truncated_normal_initializer(stddev=0.1))
????????biases?=?tf.get_variable(‘biases‘filter[3]initializer=tf.constant_initializer(0.0))
????????conv1?=?tf.nn.conv2d(input_tensorweightsstride

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????4615??2018-04-29?16:44??Alexnet\Alexnet.py

?????文件????????104??2018-04-24?21:23??Alexnet\classes.py

?????文件???????9075??2018-03-16?09:29??Alexnet\eval.py

?????文件???????6838??2018-04-27?10:52??Alexnet\small_test.py

?????文件?????130839??2018-04-24?22:27??Alexnet\tensorboard\events.out.tfevents.1524580059.OS-201709090818

?????文件?????130839??2018-04-24?22:37??Alexnet\tensorboard\events.out.tfevents.1524580658.OS-201709090818

?????文件?????130839??2018-04-24?22:40??Alexnet\tensorboard\events.out.tfevents.1524580850.OS-201709090818

?????文件?????130839??2018-04-24?22:41??Alexnet\tensorboard\events.out.tfevents.1524580871.OS-201709090818

?????文件?????130839??2018-04-24?22:46??Alexnet\tensorboard\events.out.tfevents.1524581172.OS-201709090818

?????文件?????130839??2018-04-24?22:47??Alexnet\tensorboard\events.out.tfevents.1524581219.OS-201709090818

?????文件?????130839??2018-04-24?22:51??Alexnet\tensorboard\events.out.tfevents.1524581483.OS-201709090818

?????文件?????130839??2018-04-24?22:52??Alexnet\tensorboard\events.out.tfevents.1524581526.OS-201709090818

?????文件?????130839??2018-04-26?11:12??Alexnet\tensorboard\events.out.tfevents.1524712338.OS-201709090818

?????文件?????130839??2018-04-26?11:19??Alexnet\tensorboard\events.out.tfevents.1524712745.OS-201709090818

?????文件?????130839??2018-04-26?11:19??Alexnet\tensorboard\events.out.tfevents.1524712778.OS-201709090818

?????文件?????130839??2018-04-26?11:28??Alexnet\tensorboard\events.out.tfevents.1524713316.OS-201709090818

?????文件?????130839??2018-04-26?11:29??Alexnet\tensorboard\events.out.tfevents.1524713344.OS-201709090818

?????文件?????130839??2018-04-26?11:31??Alexnet\tensorboard\events.out.tfevents.1524713501.OS-201709090818

?????文件?????130839??2018-04-26?11:33??Alexnet\tensorboard\events.out.tfevents.1524713583.OS-201709090818

?????文件?????130839??2018-04-26?11:36??Alexnet\tensorboard\events.out.tfevents.1524713761.OS-201709090818

?????文件?????130839??2018-04-26?11:36??Alexnet\tensorboard\events.out.tfevents.1524713778.OS-201709090818

?????文件?????130839??2018-04-26?11:43??Alexnet\tensorboard\events.out.tfevents.1524714234.OS-201709090818

?????文件?????130839??2018-04-26?11:45??Alexnet\tensorboard\events.out.tfevents.1524714319.OS-201709090818

?????文件?????130839??2018-04-26?11:49??Alexnet\tensorboard\events.out.tfevents.1524714549.OS-201709090818

?????文件?????130839??2018-04-26?11:49??Alexnet\tensorboard\events.out.tfevents.1524714594.OS-201709090818

?????文件?????130839??2018-04-26?11:51??Alexnet\tensorboard\events.out.tfevents.1524714670.OS-201709090818

?????文件?????130839??2018-04-26?11:53??Alexnet\tensorboard\events.out.tfevents.1524714818.OS-201709090818

?????文件?????130839??2018-04-26?11:55??Alexnet\tensorboard\events.out.tfevents.1524714922.OS-201709090818

?????文件?????130839??2018-04-26?11:56??Alexnet\tensorboard\events.out.tfevents.1524714965.OS-201709090818

?????文件?????130839??2018-04-26?11:56??Alexnet\tensorboard\events.out.tfevents.1524715016.OS-201709090818

............此處省略12個文件信息

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